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167 public repositories
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This project reproduces the book Dive Into Deep Learning (
https://d2l.ai/ ), adapting the code from MXNet into PyTorch.
Updated
Jan 9, 2021
Jupyter Notebook
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Updated
Aug 4, 2021
Jupyter Notebook
PyTorch implementation of Super SloMo by Jiang et al.
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Feb 22, 2021
Python
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
Updated
Nov 17, 2019
Python
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
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Sep 3, 2020
Python
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
Updated
Jun 2, 2021
Python
Bilinear attention networks for visual question answering
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Aug 6, 2021
Python
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
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Apr 20, 2021
Python
The implementation of StyleGAN on PyTorch 1.0.1
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Jun 28, 2020
Python
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Updated
Jul 21, 2021
Jupyter Notebook
PyTorch implementation of soft actor critic
Updated
May 11, 2021
Python
Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
Updated
Jul 29, 2019
Python
PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
Updated
Jul 1, 2021
Jupyter Notebook
The PyTorch Implementation of SummaRuNNer
Updated
Jun 8, 2021
Python
A pytorch reproduction of { Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation }.
Updated
Jun 8, 2021
Python
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
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Jan 16, 2021
Python
PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).
Updated
Feb 3, 2019
Python
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
Updated
Oct 23, 2020
Jupyter Notebook
Character-level Convolutional Neural Networks for text classification in PyTorch
Updated
Apr 12, 2019
Python
Another pytorch implementation of FCN (Fully Convolutional Networks)
Updated
Dec 23, 2018
Python
Updated
Jan 20, 2019
Jupyter Notebook
Unofficially Pytorch implementation of High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection
Updated
Jun 28, 2019
Python
Fact Extraction and VERification baseline published in NAACL2018
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Oct 30, 2020
Python
A pytorch implemention of MoCoGAN
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Oct 18, 2017
Python
Updated
May 30, 2021
Jupyter Notebook
Pytorch implement WaveNet
Updated
Apr 8, 2018
Jupyter Notebook
Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
Updated
Jun 7, 2019
Python
Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.
Updated
Sep 13, 2018
Python
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Need help for retraining and cross validation and see if the ROUGE score matches exactly (or better) with the numbers reported in the paper.
I just train for 500k iteration (with batch size 8) with pointer generation enabled + coverage loss disabled and next 100k iteration (with batch size 8) with pointer generation enabled + coverage loss enabled.
It would be great if someone can help re-r