jimmykimmy68

Deep-SVDD-PyTorch

A PyTorch implementation of the Deep SVDD anomaly detection method

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

PyTorch-Encoding

A CV toolkit for my papers.

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

DALL-E

PyTorch package for the discrete VAE used for DALL·E.

dissect

Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

focal-loss-keras

Binary and Categorical Focal loss implementation in Keras.

git_Test

lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorch_stacked_hourglass

Pytorch implementation of "Stacked Hourglass Networks for Human Pose Estimation"

SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

active-learning

badge

An implementation of the BADGE batch active learning algorithm.

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

deit

Official DeiT repository

dl_book

legend

edward2

A simple probabilistic programming language.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

TorchAL

Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.