utils and examples for studying machine learning
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Updated
May 19, 2024 - Jupyter Notebook
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
utils and examples for studying machine learning
A high-throughput and memory-efficient inference and serving engine for LLMs
Implementation of different machine learning models
Flower: A Friendly Federated Learning Framework
《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。
AI POCS: ML, NLP, LLM, Vision, Classification, clustering, GenAI, Transformers, PyTorch, Keras, All things AI POCS.
深度学习辅助漫画翻译工具, 支持一键机翻和简单的图像/文本编辑 | Yet another computer-aided comic/manga translation tool powered by deeplearning
a library so simple you will learn Within An Hour
A probabilistic framework in PyTorch for phylogenetic models
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Transparent and reproducible medical image processing pipelines in Python.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🌶🤖🔗Preview de una Red Neuronal que hace predicciones de la bolsa en una interfaz web con 🌶Flask
Clinical Analysis and Modeling for EHR data, 2D and 3D medical imaging data, applying Pydicom, Pytorch, Keras-tensorflow, with medical and healthcare regulations and standards, for FDA submission
A powerful baseline for image classification and face recognition with Pytorch
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
Created by Facebook's AI Research lab (FAIR)
Released September 2016
Latest release about 1 month ago