A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
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Updated
Jun 10, 2024 - Python
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)
Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.
ABAW6 (CVPR-W) We achieved second place in the valence arousal challenge of ABAW6
Pytorch implementation of the models RT-1-X and RT-2-X from the paper: "Open X-Embodiment: Robotic Learning Datasets and RT-X Models"
Implementation of the model "AudioFlamingo" from the paper: "Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities"
This repository contains notes, slides, labs, assignments and projects for the Deep Learning Specialization by DeepLearning.AI and Coursera.
[FG 2024] "Audio-Visual Person Verification based on Recursive Fusion of Joint Cross-Attention"
Specifically built for the research proposal: Estimating sector attention index with deep learning methods : example of Chinese stock market, Jan. 4, 2024.
Contrastive-LSH Embedding and Tokenization Technique for Multivariate Time Series Classification
Hyperspectral Unmixing via Dual Attention Convolutional Neural Networks | 基于双注意力卷积神经网络的高光谱图像解混
[CVPR 2024] Code for our Paper "CFAT: Unleashing Triangular Windows for Image Super-resolution"
Successfully established a Seq2Seq with attention model which can perform English to Spanish language translation up to an accuracy of almost 97%.
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Camouflaged Object Detection, CVPR 2020 (Oral)
Neural Machine Translator with Transformers. Implementation for "Attention Is All You Need" paper
A tiny version of GPT, built with PyTorch and trained on Shakespeare
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