ilyaperepelitsa

best-of-crypto

🏆 A ranked list of awesome open-source crypto projects. Updated weekly.

rotki

A portfolio tracking, analytics, accounting and management application that protects your privacy

SEARL

Sample-Efficient Automated Deep Reinforcement Learning

DeepCAVE

An interactive framework to visualize and analyze your AutoML process in real-time.

SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Auto-PyTorch

Automatic architecture search and hyperparameter optimization for PyTorch

NASLib

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

ParameterImportance

Parameter Importance Analysis Tool

pybnn

Bayesian neural network package

HPO_for_RL

This is the code of reproducing the results of our paper: On the importance of Hyperparameter Optimization for Model-based Reinforcement Learning

AutoFolio

Automated Algorithm Selection with Hyperparameter Optimization

fanova

Functional ANOVA

transfer-hpo-framework

Code accompanying https://arxiv.org/abs/1802.02219

IMFAS

Implicit Multi-Fidelity Algorithm Selection

hierarchical_nas_construction

Official repository for "Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars" (NeurIPS 2023)

yolov5_adversarial

Generate adversarial patches against YOLOv5 🚀

masif

MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information

submitit

Local Fork of Submitit

awesome-transformer-search

A curated list of awesome resources combining Transformers with Neural Architecture Search

CAAFE

Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).

AutoRL-Landscape

neps

Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

CARL

Benchmarking RL generalization in an interpretable way.

ConfigSpace

Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.

DEHB

DACBench

A benchmark library for Dynamic Algorithm Configuration.

list-of-shitcoins

shitcoins list

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

jupyter

Jupyter metapackage for installation, docs and chat

polyaxon

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle