richardliaw Goto Github PK
Name: Richard Liaw
Type: User
Company: @anyscale
Bio: @anyscale - feel free to reach out
Location: Berkeley
Richard Liaw's Projects
a3c_sample
A3C Implementation for Pong on Ray
airflow-provider-ray-1
Ray provider for Apache Airflow
airflow-rl
anchor
Code for "High-Precision Model-Agnostic Explanations" paper
arrow
Apache Arrow is a columnar in-memory analytics layer designed to accelerate big data. It houses a set of canonical in-memory representations of flat and hierarchical data along with multiple language-bindings for structure manipulation. It also provides IPC and common algorithm implementations.
autopack
autoscaler_tests
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
ax
Adaptive Experimentation Platform
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
beam
Apache Beam is a unified programming model for Batch and Streaming
blackjack
Small ruby project for blackjack cardgame
blog
Public repo for HF blog posts
course
UC Berkeley's Fall 2015 CS186
course-gitbook
Full Stack Deep Learning Online Course
course_sp15
Official repository for CS 186 assignments
cs186
Section slides for CS186.
cs267final
CS267Final
cs286a
General Repo for CS286A projects
cuml_tune
darts
Differentiable architecture search for convolutional and recurrent networks
debug_timing
demo
dlrm
An implementation of a deep learning recommendation model (DLRM)
docker-python
Kaggle Python docker image
dragonfly
An open source python library for scalable Bayesian optimisation.
elf
An End-To-End, Lightweight and Flexible Platform for Game Research
eval
explainability
fastai
The fastai deep learning library, plus lessons and tutorials
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