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ggplot2-book

The ggplot2 book

ggqc

ggQC

gibsonenv

Gibson Environments: Real-World Perception for Embodied Agents

giraffe

experimental chess engine based on temporal-difference reinforcement learning

githubb

glmer2stan

Define Stan models using glmer-style (lme4) formulas

google-research

Google Research

gps

Guided Policy Search

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gqcnn

Python modules for GQ-CNN training and deployment, with ROS integration

gradient_boosting_tensorflow_xgboost

Benchmarking Gradient Boosting in TensorFlow and XGBoost

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

grpc

The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

grt

gesture recognition toolkit

gsoc17-hhmm

Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.

gsvpano.js

Google Street View Panorama Util

gtsrb

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

guided-evolutionary-strategies

Guided Evolutionary Strategies

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-cryptotrading

OpenAI Gym Environment API based Bitcoin trading environment

gym-r

An R package providing access to the OpenAI Gym API

h264dec

A RTSP client that extract h264 video frames

hadley.github.com

Personal blog

halide

a language for image processing and computational photography

hamilton

A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc. Embed Hamilton anywhere python runs, e.g. spark, airflow, jupyter, fastapi, python scripts, etc. Comes with lineage out of the box.

hands-on-markov-models-with-python

Hands on Markov Models with Python, published by Packt

hands-on-reinforcement-learning-with-python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hashkernel

A demonstration of how to use hash kernels for ridiculously unprincipled machine learning