Richard Liaw's repositories
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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.
course-gitbook
Full Stack Deep Learning Online Course
darts
Differentiable architecture search for convolutional and recurrent networks
dragonfly
An open source python library for scalable Bayesian optimisation.
fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
github-statistics
A react static app for displaying github repo statistiscs like Star History, Fork History and more.
HpBandSter
a distributed Hyperband implementation on Steroids
Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
pttutorialtest
PT Tutorial Experiments Project
pydata_demo
pydata_demo
pytorch-cifar-plus
CIFAR on PyTorch
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
SlidesCodeHighlighter
A little web app that helps you copy+paste syntax-highlighted code into slide decks.
softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Official implementation of the Soft Actor-Critic algorithm.
sospescher
sospescher