compiler learning resources collect.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Zero-Cost Proxies for Lightweight NAS

An autoML framework & toolkit for machine learning on graphs.

A paper collection about automated graph learning

1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge.

Implementation of the SIGIR 2020 paper "Automated Embedding Size Search in Deep Recommender Systems"

Factorization Machine models in PyTorch

Meta Learning for Semi-Supervised Few-Shot Classification

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sa…

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Fast and Accurate ML in 3 Lines of Code

斯坦福 cs231n 作业代码实践

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Latex code for making neural networks diagrams

Installing PyTorch on the Nvidia Jetson TX1/TX2

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV

A Keras implementation of YOLOv3 (Tensorflow backend)