Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
-
Updated
Jan 20, 2024 - 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.
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
PyTorch implementation of Super SloMo by Jiang et al.
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
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
The PyTorch Implementation of SummaRuNNer
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.
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).
LSTM and GRU in PyTorch
A pytorch reproduction of { Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation }.
Add a description, image, and links to the pytorch-implmention topic page so that developers can more easily learn about it.
To associate your repository with the pytorch-implmention topic, visit your repo's landing page and select "manage topics."