DonghaoXu

awesome-nas-papers

Awesome Neural Architecture Search Papers

AutoDL-Projects

Automated deep learning algorithms implemented in PyTorch.

Auto-PyTorch

Automatic architecture search and hyperparameter optimization for PyTorch

pytorch-admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

Awesome-NAS

archai

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

aw_nas

aw_nas: A Modularized and Extensible NAS Framework

DenseNAS

Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)

awesome-AutoML

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

nni

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

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

captum

Model interpretability and understanding for PyTorch

deeplift

Public facing deeplift repo

feature-selection

Awesome papers on Feature Selection

pymrmr

Python3 binding to mRMR Feature Selection algorithm (currently not maintained)

cvxpylayers

Differentiable convex optimization layers

e2e-model-learning

Task-based end-to-end model learning in stochastic optimization

optnet

OptNet: Differentiable Optimization as a Layer in Neural Networks

qpth

A fast and differentiable QP solver for PyTorch.

deepboost

GBDT-PL

Gradient Boosting With Piece-Wise Linear Trees

awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

rgf

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

pyCausalFS

pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification

featsel

An open-source framework for benchmarking of feature selection algorithms and cost functions.

CMICOT

Efficient feature selection method based on Conditional Mutual Information.

pyHSICLasso

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

BoostARoota

A fast xgboost feature selection algorithm

scikit-feature

open-source feature selection repository in python

fast-mRMR

An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).