Pinned Repositories
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
course
UC Berkeley's Fall 2015 CS186
gpt-learning
ray
An experimental distributed execution engine
richardliaw.github.io
My Page
track
Track your ML project!
richardliaw's Repositories
richardliaw/ray
An experimental distributed execution engine
richardliaw/gpt-learning
richardliaw/airflow-provider-ray-1
Ray provider for Apache Airflow
richardliaw/beam
Apache Beam is a unified programming model for Batch and Streaming
richardliaw/blog
Public repo for HF blog posts
richardliaw/course-gitbook
Full Stack Deep Learning Online Course
richardliaw/dlrm
An implementation of a deep learning recommendation model (DLRM)
richardliaw/gitbook
Documentation synced with GitBook
richardliaw/github-statistics
A react static app for displaying github repo statistiscs like Star History, Fork History and more.
richardliaw/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
richardliaw/jupyter-book
Build interactive, publication-quality documents from Jupyter Notebooks
richardliaw/learning_ray
Code for the upcoming book "Learning Ray" with O'Reilly
richardliaw/ludwig
Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.
richardliaw/pytorch-tutorials
PyTorch tutorials.
richardliaw/ray-llm
RayLLM - LLMs on Ray
richardliaw/ray-spacy
Temp
richardliaw/ray_lightning_accelerators
Pytorch Lightning Distributed Accelerators using Ray
richardliaw/ray_shuffling_data_loader
A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed training of machine learning models.
richardliaw/releaser
richardliaw/sp21-proj6
Spring 2021 Project 6 Skeleton Code
richardliaw/spaCy
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
richardliaw/test-dagster
richardliaw/thinc
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
richardliaw/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
richardliaw/travis-tracker-v2
richardliaw/tune-sklearn
An experimental scikit-learn API on Tune
richardliaw/tutorial
richardliaw/unify
richardliaw/whisper_serve_demo
richardliaw/xgboost_ray
Distributed XGBoost on Ray