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atm

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

autofeat

Linear Regression Model with Automated Feature Engineering and Selection Capabilities

autogbt

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.

awesome-architecture-search

A curated list of awesome architecture search resources

awesome-automl

Curating a list of AutoML-related research, tools, projects and other resources

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-llm-reliability-robustness-safety

Awesome-LLM-Robustness: a curated list of Robustness, Reliability and Safety in Large Language Models

awesome-llm-robots

state of the art on the LLM based robotic topics

awesome-mlsecops

A curated list of MLSecOps tools, articles and other resources on security applied to Machine Learning and MLOps systems.

brain-tokyo-workshop

🧠🗼

btb

A simple, extensible library for developing AutoML systems

darts

Differentiable architecture search for convolutional and recurrent networks

datasciencecoursera

datasharing

The Leek group guide to data sharing

github-cheat-sheet

A list of cool features of Git and GitHub.

lihang-code

《统计学习方法》的代码实现

linux-insides

A little bit about a linux kernel

llm-security

New ways of breaking app-integrated LLMs

models

Models and examples built with TensorFlow

nascell-automl

neural-architecture-search

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

nips-2018-automl-challenge

The final code submission of Meta_Learners, which won the second place in NIPS 2018 AutoML Challenge

nni

An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.

numpy-ml

Machine learning, in numpy

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pysnooper

Never use print for debugging again

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

universaladversarialchallenges-autonomousvehicles