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2018fall

60_days_rl_challenge

Learn Deep Reinforcement Learning in Depth in 60 days

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

am207-inference-analysis-optimization

Harvard Fall 2019 Applied Math 207 Advanced Methods for Analysis, Inference and Optimization (Dr. Weiwei Pan)

am207_fall19_projects

Course projects for AM207 Fall 2019

awesome-semi-supervised-learning

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

deepglo

This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

indrnn_pytorch

Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.

mit-linear-algebra-notes

Notes for MIT-Linear-Algebra

practical_rl

A course in reinforcement learning in the wild

prml

PRML algorithms implemented in Python

prmlt

Matlab code for machine learning algorithms in book PRML

sandbox

Play time!

semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

skorch

A scikit-learn compatible neural network library that wraps PyTorch

ss-vae-pytorch

The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch

statistical-analysis-python-tutorial

Statistical Data Analysis in Python