Stars
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Style guides for Google-originated open-source projects
Modin: Scale your Pandas workflows by changing a single line of code
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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 Advers…
Fast and flexible AutoML with learning guarantees.
Multivariate imputation and matrix completion algorithms implemented in Python
Comparisons between best subset selection and other popular sparse regression estimators
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
TensorFlow code and pre-trained models for BERT
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
A collection of resources on modern C++
Pandas Cookbook, published by Packt
Python Data Science Handbook: full text in Jupyter Notebooks
Instructions on how to install Ubuntu 14.04 on the Alienware 15 R3 (and installing cuda, tensorflow and disabling intel graphics card)
Installing Tensorflow on Ubuntu 16.04 (Tested with Alienware Aurora R5)
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.