yaminibansal

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST

CMC

"Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

cozmo-python-sdk

Anki Cozmo Python SDK

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

prednet

Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"

svae

code for Structured Variational Autoencoders

COVID-19-viz

coxlab-website

cs207project

Time Series Library for CS207 - 2016

cs207project-1

CS282R_Deep_Learning_Workshop

A tensorflow tutorial for CS282R: Robust Machine Learning at Harvard University.

Delving-deep-into-GANs

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

DS-VAE

dsvae_experiments

DSVAE experiments

fitting-random-labels

Example code for the paper "Understanding deep learning requires rethinking generalization"

hugo-academic

📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!

hugo-future-imperfect-slim

Multilingual Blogging Theme for Hugo

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

ML-website

mltheoryseminar

neural-tangents

Fast and Easy Infinite Neural Networks in Python

neural_kernels_code

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorchprednet

SimCLR

A PyTorch implementation of SimCLR based on the paper "A Simple Framework for Contrastive Learning of Visual Representations"

streamlit-apps

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

vdvae

Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"

vision

Datasets, Transforms and Models specific to Computer Vision

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"