breakend Goto Github PK
Name: Peter Henderson
Type: User
Bio: Currently at Stanford University.
Name: Peter Henderson
Type: User
Bio: Currently at Stanford University.
A mirror for some of the NeurIPS website content with a new acronym.
Code for Comp599 Assignment 1 (TAC document classification using simple algos and uni/bigram models)
My open history notebook, made with Hugo.
Visualize Tensorflow's optimizers.
A development toybox and pitch for integrating the option-critic architecture with neural turing machines.
Code accompanying the OptionGAN paper.
Asynchronous Distributed Hyperparameter Optimization.
An adapted version of the ikostrikov RL algorithm implementation for use with the Oríon hyperparameter optimization framework.
Temporary repo to provide data for development of visualisation for Oríon
A parallel version of Trust Region Policy Optimization
A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
A Language Processing Toolkit for Persian
A LaTeX poster template for scientific posters.
a gaming framework to align genomic data
A dataset for pretraining language models targeted for legal tasks.
A repo for an ongoing project with the automatic segmentation, classification, etc. of plankton from microscope slides.
Probabilistic reasoning and statistical analysis in TensorFlow
A linter for prose.
python bindings for FLANN - Fast Library for Approximate Nearest Neighbors.
A Python library to capture the energy consumption of code snippets
super fast cpp implementation of longest common subsequence/substring
PyTorch implementation of Trust Region Policy Optimization
These are experiments for examining reproducibility in Policy Gradient RL algorithms in Continuous domains. Mainly using the Rllab implementation.
RAND's Interdisciplinary Behavioral and Social Science Tax Evasion Agent-Based Model
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Tutorial on continuous control at Reinforcement Learning Summer School 2017.
An a bias-variance tradeoff of Sarsa vs. Expected Sarsa with experiments.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.