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

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

PyTorch implementation of soft actor critic

The implementation of StyleGAN on PyTorch 1.0.1

Bilinear attention networks for visual question answering

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

A PyTorch implementation for StyleGAN with full features.

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

The PyTorch Implementation of SummaRuNNer

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

LSTM and GRU in PyTorch