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adawhatever

MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.

bayesian-stat-machine-learning

"Bayesian Statistics & Machine Learning" Reading Group at Northwestern Statistics

bcd-for-dnns

Training Deep Neural Networks using Block Coordinate Descent Algorithms

bcd-for-dnns-pytorch

Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)

bcoapg-plus

MATLAB Code for the paper "Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics"

bigdataalgorithms

bregman_prox_langevin_mc

Code for Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes (ICML 2022)

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deep-learning-notes

Experiments with Deep Learning

deep-reinforcement-learning-algorithms-with-pytorch

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

duke-tsinghua-mlss-2017

Duke-Tsinghua Machine Learning Summer School 2017

far-ho

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

keras-gan

Keras implementations of Generative Adversarial Networks.

lmc-atomi

Code for Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms

maml-pytorch

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

maml-tensorflow

Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

models

Models and examples built with TensorFlow

normalizing-flows-tutorial

Tutorial on normalizing flows.

probability

Probabilistic reasoning and statistical analysis in TensorFlow

pytorch-tutorial

Build your neural network easy and fast

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

roadmap-of-dl-and-ml

Roadmap of DL and ML, some courses, study notes and paper summary

sgdlibrary

Matlab library for stochastic gradient descent algorithms: Version 1.0.12

tensorflow-object-detection-api-tutorial-train-multiple-objects-windows-10

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

tensorflow-tutorial

Tensorflow tutorial from basic to hard

tensorpack

A Neural Net Training Interface on TensorFlow

tutorial-rl

tutorials