Catosine's Stars
996icu/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
torvalds/linux
Linux kernel source tree
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
tensorflow/models
Models and examples built with TensorFlow
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
deepinsight/insightface
State-of-the-art 2D and 3D Face Analysis Project
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
amusi/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
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.
tianzhi0549/FCOS
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
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)
xiaolai-sqlai/mobilenetv3
mobilenetv3 with pytorch,provide pre-train model
melodyguan/enas
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
facebookresearch/mobile-vision
Mobile vision models and code
guan-yuan/awesome-AutoML-and-Lightweight-Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
anak10thn/WTFPL
DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
chenxin061/pdarts
Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"
leaderj1001/MobileNetV3-Pytorch
Implementing Searching for MobileNetV3 paper using Pytorch
wallarm/nascell-automl
yutongyan/COMP551-Review
McGill-ECSE321-Winter2019/ecse321-group-project-04
ecse321-group-project-04 created by GitHub Classroom
jacob-hochstrasser/DPM-Team4
Repository for Lab 5 and Final Project
yma67/Reddit-Popularity-Predict
Predicting Popularity using Linear/Polynomial Regression, with word count vectorization.