pinkrespect

gym

A toolkit for developing and comparing reinforcement learning algorithms.

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

DAIN

Depth-Aware Video Frame Interpolation (CVPR 2019)

trax

Trax — Deep Learning with Clear Code and Speed

remote-or-flexible-work-company-in-korea

한국에서 원격근무 혹은 자율출퇴근이 되는 회사 리스트를 아카이브합니다

ddsp

DDSP: Differentiable Digital Signal Processing

a-PyTorch-Tutorial-to-Image-Captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

learn2learn

A PyTorch Library for Meta-learning Research

MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

fast-bert

Super easy library for BERT based NLP models

pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

dcgan.torch

A torch implementation of http://arxiv.org/abs/1511.06434

self-critical.pytorch

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.

convert_torch_to_pytorch

Convert torch t7 model to pytorch model and source.

XAI-papers

StyleGAN2-Tensorflow-2.0

StyleGAN 2 in Tensorflow 2.0

GANLatentDiscovery

The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

Deep-Compression-PyTorch

PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally

assembled-cnn

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

deformable-kernels

Deforming kernels to adapt towards object deformation. In ICLR 2020.

deep-goggle

Source code for "Understanding Deep Image Representations by Inverting Them", CVPR 2015

S-LSTM

Code for the paper: Sentence-State LSTM for Text Representation

show_attend_and_tell_pytorch

Pytorch implement Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Reformer-pytorch

Implements Reformer: The Efficient Transformer in pytorch.

ganzo

A GAN framework

GradCAM

A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"

KG-A2C

Goal driven language generation using knowledge graph A2C agents

image_captioning

Image captioning models in PyTorch