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torch-residual-networks

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

torch.github.io

Torch's web page.

torch7

http://torch.ch

torchphysics

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

tpch-kit

TPC-H benchmark kit with some modifications/additions

tree_structured_rslds

Tree-structured recurrent switching linear dynamical systems

tutorials

A series of machine learning tutorials for Torch7

uci-madelon-dataset

sklearn.dataset.make_classification; non-linear data; Python; feature extraction; visualizations; classification pipelines

umap

Uniform Manifold Approximation and Projection

unrolled_gan

Unrolled Generative Adversarial Networks

vae-torch

Implementation of Variational Auto-Encoder in Torch7

vae_tutorial

Caffe code to accompany my Tutorial on Variational Autoencoders

variational-autoencoder

generate MNIST using a Variational Autoencoder

variational_autoencoder

Torch implementation of Variational Autoencoder

vcpkg

C++ Library Manager for Windows, Linux, and MacOS

videogan

Generating Videos with Scene Dynamics. NIPS 2016.

wassersteingan.tensorflow

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

wide-residual-networks

3.8% and 18.3% on CIFAR-10 and CIFAR-100

wrn-tensorflow

A tensorflow implementation of Wide Residual Networks(https://arxiv.org/abs/1605.07146)

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

yfinance

Yahoo! Finance market data downloader (+faster Pandas Datareader)

zettajs.github.io

zetta.js

zuniswapv2

UniswapV2 clone made in educational purposes