zhi-ml's Stars
YyzHarry/imbalanced-semi-self
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
YyzHarry/SV-RL
[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
astooke/rlpyt
Reinforcement Learning in PyTorch
YyzHarry/ME-Net
[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
google/styleguide
Style guides for Google-originated open-source projects
modin-project/modin
Modin: Scale your Pandas workflows by changing a single line of code
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
apachecn/apachecn-algo-zh
ApacheCN 数据结构与算法译文集
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
frnsys/retrosynthesis_planner
Retrosynthesis planner
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
tensorflow/adanet
Fast and flexible AutoML with learning guarantees.
iskandr/fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
ryantibs/best-subset
Comparisons between best subset selection and other popular sparse regression estimators
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
google-research/bert
TensorFlow code and pre-trained models for BERT
fffaraz/awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
rigtorp/awesome-modern-cpp
A collection of resources on modern C++
PacktPublishing/Pandas-Cookbook
Pandas Cookbook, published by Packt
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
awesomebytes/alienware15r3_ubuntu14
Instructions on how to install Ubuntu 14.04 on the Alienware 15 R3 (and installing cuda, tensorflow and disabling intel graphics card)
rdjondo/TensorFlowGPUonUbuntu
Installing Tensorflow on Ubuntu 16.04 (Tested with Alienware Aurora R5)
fastai/courses
fast.ai Courses
carpedm20/DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
keras-team/keras
Deep Learning for humans
chiphuyen/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.