{"payload":{"pageCount":16,"repositories":[{"type":"Public","name":"JAX-Toolbox","owner":"NVIDIA","isFork":false,"description":"JAX-Toolbox","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":39,"issueCount":111,"starsCount":187,"forksCount":34,"license":"Apache License 2.0","participation":[6,3,5,10,6,7,16,4,7,5,6,8,16,3,9,6,10,12,15,5,8,8,6,3,9,5,9,4,9,0,8,18,7,13,11,13,16,9,16,13,10,3,5,3,11,5,1,16,6,10,6,5],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T19:51:34.168Z"}},{"type":"Public","name":"cccl","owner":"NVIDIA","isFork":false,"description":"CUDA C++ Core Libraries","allTopics":["modern-cpp","parallel-computing","gpu-acceleration","cuda-kernels","gpu-computing","parallel-algorithm","parallel-programming","nvidia-gpu","gpu-programming","cuda-library","cpp-programming","cuda-programming","accelerated-computing","cuda-cpp","cpp","hpc","gpu","cuda","nvidia"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":33,"issueCount":611,"starsCount":857,"forksCount":112,"license":"Other","participation":[98,4,96,35,17,54,16,25,26,31,39,18,14,19,26,42,26,23,54,28,15,34,10,15,11,14,8,11,3,1,3,2,14,10,3,11,13,13,21,18,10,7,8,10,20,12,5,14,20,14,8,10],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T18:22:48.762Z"}},{"type":"Public","name":"TransformerEngine","owner":"NVIDIA","isFork":false,"description":"A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.","allTopics":["python","machine-learning","deep-learning","gpu","cuda","pytorch","jax","fp8"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":29,"issueCount":96,"starsCount":1509,"forksCount":231,"license":"Apache License 2.0","participation":[8,9,9,5,3,8,13,3,6,11,6,4,4,3,1,6,8,9,12,7,6,3,6,9,3,9,8,8,5,0,6,10,9,12,10,9,4,7,7,8,5,7,2,11,7,14,6,13,3,10,7,10],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T17:56:13.178Z"}},{"type":"Public","name":"NeMo-Aligner","owner":"NVIDIA","isFork":false,"description":"Scalable toolkit for efficient model alignment","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":21,"issueCount":40,"starsCount":286,"forksCount":31,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,8,4,12,1,2,2,0,3,0,5,2,2,1,0,4,3,3,2,2,3,3,4,2,5,0,0,2,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T17:27:12.400Z"}},{"type":"Public","name":"TensorRT","owner":"NVIDIA","isFork":false,"description":"NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.","allTopics":["deep-learning","inference","nvidia","gpu-acceleration","tensorrt"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":28,"issueCount":264,"starsCount":9299,"forksCount":1989,"license":"Apache License 2.0","participation":[2,0,0,0,0,1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,1,1,0,1,5,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T17:24:34.847Z"}},{"type":"Public","name":"NeMo","owner":"NVIDIA","isFork":false,"description":"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)","allTopics":["machine-translation","tts","speech-synthesis","neural-networks","deeplearning","speaker-recognition","asr","multimodal","speech-translation","large-language-models","speaker-diariazation","generative-ai"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":89,"issueCount":52,"starsCount":10319,"forksCount":2202,"license":"Apache License 2.0","participation":[24,6,18,22,9,21,16,12,14,21,23,17,20,20,18,17,29,29,23,15,19,8,7,11,6,6,11,15,13,5,11,17,21,22,9,17,31,18,40,19,27,39,8,24,34,27,23,38,33,34,21,20],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T16:41:45.606Z"}},{"type":"Public","name":"Fuser","owner":"NVIDIA","isFork":false,"description":"A Fusion Code Generator for NVIDIA GPUs (commonly known as \"nvFuser\")","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":109,"issueCount":217,"starsCount":228,"forksCount":42,"license":"Other","participation":[16,12,17,18,16,19,27,14,15,23,23,26,30,16,13,39,42,24,22,29,29,32,35,40,36,42,36,40,10,3,13,28,10,17,17,23,17,37,16,22,41,29,13,28,9,38,26,19,22,19,18,16],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T16:40:07.978Z"}},{"type":"Public","name":"NeMo-speech-data-processor","owner":"NVIDIA","isFork":false,"description":"A toolkit for processing speech data and creating speech datasets","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":5,"issueCount":1,"starsCount":63,"forksCount":20,"license":"Apache License 2.0","participation":[3,1,1,1,0,2,16,20,0,0,0,0,0,0,0,0,0,0,0,0,1,1,20,1,2,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,5,0,0,1,0,1,2,2,1,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T15:02:28.090Z"}},{"type":"Public","name":"NV-Kernels","owner":"NVIDIA","isFork":false,"description":"Ubuntu kernels which are optimized for NVIDIA server systems","allTopics":[],"primaryLanguage":{"name":"C","color":"#555555"},"pullRequestCount":6,"issueCount":0,"starsCount":7,"forksCount":4,"license":"Other","participation":[1992,2040,1595,1291,1352,1708,1658,1831,2298,2210,1789,1609,1406,1099,2075,1985,1651,1849,1750,1837,1621,1183,1135,1291,1548,1892,2021,2007,1805,661,955,1237,1159,1883,2005,1754,2037,2090,1731,1716,1207,1306,1727,1720,1792,1467,1672,1344,912,431,226,27],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T15:00:14.639Z"}},{"type":"Public","name":"cuda-quantum","owner":"NVIDIA","isFork":false,"description":"C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows","allTopics":["python","cpp","quantum","quantum-computing","quantum-programming-language","quantum-algorithms","quantum-machine-learning","unitaryhack"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":28,"issueCount":231,"starsCount":401,"forksCount":130,"license":"Other","participation":[15,3,16,22,33,13,37,24,5,22,17,13,11,20,11,10,19,18,6,22,15,23,16,28,7,13,15,9,12,3,5,8,12,13,12,18,15,14,18,27,20,24,9,13,5,11,13,13,27,12,8,8],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T14:17:09.784Z"}},{"type":"Public","name":"DeepLearningExamples","owner":"NVIDIA","isFork":false,"description":"State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.","allTopics":["nlp","translation","computer-vision","mxnet","tensorflow","speech-synthesis","speech-recognition","forecasting","drug-discovery","recommender-systems","paddlepaddle","tensorflow2","large-language-models","deep-learning","pytorch"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":66,"issueCount":249,"starsCount":12760,"forksCount":3082,"license":null,"participation":[0,0,0,3,0,0,0,3,1,0,0,1,0,1,0,0,0,2,0,0,0,0,0,2,0,1,4,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T14:16:54.604Z"}},{"type":"Public","name":"nvImageCodec","owner":"NVIDIA","isFork":false,"description":"A nvImageCodec library of GPU- and CPU- accelerated codecs featuring a unified interface","allTopics":["python","machine-learning","computer-vision","deep-learning","cpp","gpu","cuda","image-processing","pytorch","nvidia","dali","data-processing","fast-data-pipeline"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":2,"issueCount":7,"starsCount":50,"forksCount":4,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T10:52:56.401Z"}},{"type":"Public","name":"stdexec","owner":"NVIDIA","isFork":false,"description":"`std::execution`, the proposed C++ framework for asynchronous and parallel programming.","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":11,"issueCount":75,"starsCount":1309,"forksCount":141,"license":"Apache License 2.0","participation":[17,9,10,4,4,2,12,12,3,5,11,39,27,15,20,8,30,11,19,28,5,38,10,12,22,22,5,9,5,13,28,18,6,10,22,10,10,12,14,11,19,10,7,7,1,0,15,10,58,17,4,2],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T07:11:32.218Z"}},{"type":"Public","name":"cloudai","owner":"NVIDIA","isFork":false,"description":"CloudAI Benchmark Framework","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":7,"issueCount":0,"starsCount":13,"forksCount":7,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,48,34,45],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T05:45:44.654Z"}},{"type":"Public","name":"earth2studio","owner":"NVIDIA","isFork":false,"description":"Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.","allTopics":["weather","ai","deep-learning","climate-science"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":3,"issueCount":5,"starsCount":33,"forksCount":5,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,17,12,5,3,9,1,4,6],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T03:46:25.526Z"}},{"type":"Public","name":"nim-deploy","owner":"NVIDIA","isFork":false,"description":"A collection of YAML files, Helm Charts, Operator code, and guides to act as an example reference implementation for NVIDIA NIM deployment.","allTopics":[],"primaryLanguage":{"name":"Shell","color":"#89e051"},"pullRequestCount":2,"issueCount":0,"starsCount":5,"forksCount":3,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T03:08:18.638Z"}},{"type":"Public","name":"spark-rapids-ml","owner":"NVIDIA","isFork":false,"description":"Spark RAPIDS MLlib – accelerate Apache Spark MLlib with GPUs","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":24,"starsCount":54,"forksCount":29,"license":"Apache License 2.0","participation":[14,6,6,10,4,6,2,15,4,10,24,20,16,14,2,1,6,4,8,6,10,11,20,4,0,4,2,0,0,2,10,3,0,3,4,2,2,8,4,9,3,0,2,4,14,14,4,4,16,0,1,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T03:02:58.177Z"}},{"type":"Public","name":"spark-rapids-jni","owner":"NVIDIA","isFork":false,"description":"RAPIDS Accelerator JNI For Apache Spark","allTopics":[],"primaryLanguage":{"name":"Cuda","color":"#3A4E3A"},"pullRequestCount":5,"issueCount":68,"starsCount":31,"forksCount":56,"license":"Apache License 2.0","participation":[16,12,12,11,9,14,8,29,13,16,16,14,15,15,9,12,45,15,20,12,14,8,10,18,26,17,27,19,8,1,8,14,11,32,17,18,17,12,12,25,14,10,22,9,34,17,16,12,10,12,17,5],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T02:29:40.820Z"}},{"type":"Public","name":"modulus","owner":"NVIDIA","isFork":false,"description":"Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods","allTopics":["machine-learning","deep-learning","physics","pytorch","nvidia-gpu"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":16,"issueCount":95,"starsCount":708,"forksCount":148,"license":"Apache License 2.0","participation":[6,3,4,5,1,2,6,7,8,12,2,3,1,3,0,9,9,5,4,2,4,4,8,9,4,9,8,5,2,0,6,3,7,6,4,7,3,7,10,4,2,4,0,5,15,4,3,11,3,1,4,5],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T00:24:05.251Z"}},{"type":"Public","name":"spark-rapids","owner":"NVIDIA","isFork":false,"description":"Spark RAPIDS plugin - accelerate Apache Spark with GPUs","allTopics":["big-data","gpu","rapids","spark"],"primaryLanguage":{"name":"Scala","color":"#c22d40"},"pullRequestCount":17,"issueCount":1305,"starsCount":736,"forksCount":219,"license":"Apache License 2.0","participation":[36,16,10,15,9,19,16,41,34,54,29,15,19,20,11,20,37,25,14,19,36,24,15,55,36,45,35,35,9,26,19,14,6,31,44,15,21,15,16,19,10,9,6,12,13,5,11,7,15,14,14,8],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T00:16:14.605Z"}},{"type":"Public","name":"k8s-kata-manager","owner":"NVIDIA","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":6,"issueCount":1,"starsCount":15,"forksCount":4,"license":"Apache License 2.0","participation":[2,3,2,0,0,0,9,1,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,2,0,0,0,1,3,4,0,0,0,3,0,0,0,2,0,2,0,0,1,2,31,2,0,2,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-31T23:57:49.805Z"}},{"type":"Public","name":"MatX","owner":"NVIDIA","isFork":false,"description":"An efficient C++17 GPU numerical computing library with Python-like syntax","allTopics":["hpc","gpu","cuda","gpgpu","gpu-computing"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":4,"issueCount":28,"starsCount":1126,"forksCount":73,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":[5,0,1,1,9,6,13,13,10,2,3,1,8,6,0,4,4,5,0,3,3,4,4,1,3,1,6,7,3,1,7,14,4,1,1,0,4,2,0,1,7,2,3,4,2,0,2,4,0,7,4,21],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-31T22:49:49.720Z"}},{"type":"Public","name":"NeMo-text-processing","owner":"NVIDIA","isFork":false,"description":"NeMo text processing for ASR and TTS","allTopics":["text-normalization","inverse-text-n"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":7,"issueCount":5,"starsCount":224,"forksCount":73,"license":"Apache License 2.0","participation":[4,2,1,4,1,0,1,0,0,2,2,1,1,3,0,0,1,2,1,0,5,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,2,0,1,0,4,1,0,1,0,1,2,4,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-31T22:37:49.239Z"}},{"type":"Public","name":"cuCollections","owner":"NVIDIA","isFork":false,"description":"","allTopics":["datastructures","cpp","gpu","cuda","hashmap","cpp17","hashset","hashtable"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":14,"issueCount":65,"starsCount":440,"forksCount":77,"license":"Apache License 2.0","participation":[1,1,1,6,2,2,1,0,6,2,1,4,3,3,2,0,2,3,4,1,0,1,0,2,6,0,2,2,7,0,4,1,1,4,4,1,2,0,0,0,4,3,0,3,3,3,1,1,2,3,3,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-31T22:09:38.771Z"}},{"type":"Public","name":"aistore","owner":"NVIDIA","isFork":false,"description":"AIStore: scalable storage for AI applications","allTopics":["object-storage","multiple-backends","distributed-shuffle","deploy-anywhere","linear-scalability","etl-offload","small-file-datasets","network-of-clusters"],"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":0,"issueCount":0,"starsCount":1128,"forksCount":142,"license":"MIT License","participation":[16,13,16,20,12,8,11,28,20,19,22,22,24,24,14,20,25,15,14,16,12,13,16,6,16,16,12,16,10,11,13,18,17,23,12,28,23,17,19,20,22,24,17,14,16,12,19,22,26,16,16,11],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-31T21:50:26.236Z"}},{"type":"Public","name":"open-gpu-kernel-modules","owner":"NVIDIA","isFork":false,"description":"NVIDIA Linux open GPU kernel module source","allTopics":[],"primaryLanguage":{"name":"C","color":"#555555"},"pullRequestCount":34,"issueCount":118,"starsCount":14085,"forksCount":1154,"license":"Other","participation":[0,1,0,1,0,0,1,0,1,1,0,1,0,0,0,1,0,0,0,1,0,3,0,0,1,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,2,0,0,0,1,1,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-31T21:13:48.066Z"}},{"type":"Public","name":"spark-rapids-tools","owner":"NVIDIA","isFork":false,"description":"User tools for Spark RAPIDS","allTopics":[],"primaryLanguage":{"name":"Scala","color":"#c22d40"},"pullRequestCount":2,"issueCount":181,"starsCount":42,"forksCount":33,"license":"Apache License 2.0","participation":[4,0,3,7,6,13,2,9,2,2,9,6,7,8,9,4,8,2,6,5,4,7,2,4,2,3,3,4,1,7,2,5,3,5,10,3,5,4,5,2,4,5,11,11,14,8,6,10,6,4,8,6],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-31T21:12:37.972Z"}},{"type":"Public","name":"cloud-native-docs","owner":"NVIDIA","isFork":false,"description":"Documentation repository for NVIDIA Cloud Native Technologies","allTopics":["kubernetes","containers","kubernetes-operator"],"primaryLanguage":{"name":"CSS","color":"#563d7c"},"pullRequestCount":6,"issueCount":2,"starsCount":12,"forksCount":13,"license":"Apache License 2.0","participation":[4,38,4,2,10,12,9,2,14,4,2,4,15,9,4,5,9,8,2,12,6,2,0,4,0,8,14,8,2,6,0,10,7,10,15,12,6,1,1,18,5,2,3,4,3,6,11,35,2,3,1,2],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-31T20:52:23.006Z"}},{"type":"Public","name":"nccl","owner":"NVIDIA","isFork":false,"description":"Optimized primitives for collective multi-GPU communication","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":55,"issueCount":502,"starsCount":2885,"forksCount":737,"license":"Other","participation":[0,1,1,0,0,0,0,0,1,0,0,1,0,0,0,1,3,0,1,0,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,1,1,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-31T20:11:54.464Z"}},{"type":"Public","name":"NeMo-Curator","owner":"NVIDIA","isFork":false,"description":"Scalable toolkit for data curation","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":8,"issueCount":28,"starsCount":278,"forksCount":28,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,4,2,4,1,1,5,4,4,2,6,3],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-31T20:06:00.443Z"}}],"repositoryCount":472,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}