Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.

PyTorch implementations of Generative Adversarial Networks.

Project in MIT COVID-19 Challenge

An alternative to convolution in neural networks

Scripts and modules for training and testing neural network for age prediction from the ECG. Companion code to the paper "Deep neural network-estimated electrocardiographic age as a mortality predi…

EigenPro Iteration in PyTorch

Official implementation of "Self-training Guided Adversarial Domain Adaptation For Thermal Imagery". CVPR 2021 PBVS.

Triplet Variational Autoencoder experiments for DDSM dataset

A σ-VAE implementation in PyTorch

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

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

An implementation of a Convolutional VAE on the SVHN dataset.

PyTorch Image Quality Assessement package

Variational AutoEncoder + ResNet Transfer Learning

A Collection of Variational Autoencoders (VAE) in PyTorch.

A reactive, card-based UI framework built on UIKit for iOS developers.

Easily get the device's current location on iOS.

Some custom dataset examples for PyTorch

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

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

Pre-training without Natural Images (ACCV 2020 Best Paper Honorable Mention Award)

Notebooks and code for the book "Introduction to Machine Learning with Python"

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

NYU Deep Learning Spring 2020

A library for ML benchmarking. It's powerful.

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

PyTorch implementation of Contrastive Learning methods

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners