Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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Updated
Mar 19, 2023 - Jupyter Notebook
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
PyTorch implementation of Super SloMo by Jiang et al.
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
PyTorch implementation of soft actor critic
Bilinear attention networks for visual question answering
The implementation of StyleGAN on PyTorch 1.0.1
Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
A PyTorch implementation for StyleGAN with full features.
PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
The PyTorch Implementation of SummaRuNNer
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
A pytorch reproduction of { Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation }.
LSTM and GRU in PyTorch
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