zushu's Stars
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
google-research/google-research
Google Research
fmtlib/fmt
A modern formatting library
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
PixarAnimationStudios/OpenUSD
Universal Scene Description
libfuse/libfuse
The reference implementation of the Linux FUSE (Filesystem in Userspace) interface
FilipePS/Traduzir-paginas-web
Translate your page in real time using Google or Yandex
ericniebler/range-v3
Range library for C++14/17/20, basis for C++20's std::ranges
hibayesian/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
quark0/darts
Differentiable architecture search for convolutional and recurrent networks
tensorflow/adanet
Fast and flexible AutoML with learning guarantees.
carpedm20/ENAS-pytorch
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
afshinea/stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
D-X-Y/Awesome-AutoDL
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
deepcharles/ruptures
ruptures: change point detection in Python
D-X-Y/AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
markdtw/awesome-architecture-search
A curated list of awesome architecture search resources
google-research/morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
imteekay/programming-language-research
✨ Programming Language Research, Applied PLT & Compilers
gigwegbe/tinyml-papers-and-projects
This is a list of interesting papers and projects about TinyML.
seungwonpark/RandWireNN
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
google-research/nasbench
NASBench: A Neural Architecture Search Dataset and Benchmark
microsoft/archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
VITA-Group/AutoGAN
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
BayesWatch/nas-without-training
Code for Neural Architecture Search without Training (ICML 2021)
titu1994/neural-architecture-search
Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).
VITA-Group/TENAS
[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang
danwallach/github-classroom-utils
Python tools for instructors working with GitHub Classroom
ls1-sys-prog-course-archive-SoSe23/docs
Practical course: Advanced Systems Programming in C/Rust -- SoSe 2023
KnollFrank/automl_zero