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Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Deep Learning Drizzle ⭐ 10,767

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Serve ⭐ 3,844

Serve, optimize and scale PyTorch models in production

Onnx Tensorrt ⭐ 2,630

ONNX-TensorRT: TensorRT backend for ONNX

Awesome System For Machine Learning ⭐ 2,244

A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

Auto Pytorch ⭐ 2,158

Automatic architecture search and hyperparameter optimization for PyTorch

Pennylane ⭐ 2,022

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

Webdnn ⭐ 1,908

The Fastest DNN Running Framework on Web Browser

Talos ⭐ 1,596

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

Geneticalgorithmpython ⭐ 1,564

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Elephas ⭐ 1,548

Distributed Deep learning with Keras & Spark

Model Optimization ⭐ 1,445

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

Mlbox ⭐ 1,403

MLBox is a powerful Automated Machine Learning python library.

Hyperlearn ⭐ 1,387

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Ppo Pytorch ⭐ 1,270

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Vizier ⭐ 1,142

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Pypose ⭐ 1,103

A library for differentiable robotics.

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Generalization Causality ⭐ 993

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization model各式各样研究的阅读笔记

Hardware accelerated, batchable and differentiable optimizers in JAX.

Awesome Robotics ⭐ 817

A curated list of awesome links and software libraries that are useful for robots.

Deepdow ⭐ 790

Portfolio optimization with deep learning.

Autokernel ⭐ 724

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

Test Tube ⭐ 719

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Ensmallen ⭐ 675

A header-only C++ library for numerical optimization --

Hyperparameter_hunter ⭐ 635

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

A fast and differentiable QP solver for PyTorch.

Nextface ⭐ 599

A high-fidelity 3D face reconstruction library from monocular RGB image(s)

Mathsdl Spring18 ⭐ 518

Topics course Mathematics of Deep Learning, NYU, Spring 18

Awesome Deep Neural Network Compression ⭐ 475

Summary, Code for Deep Neural Network Quantization

Hyperactive ⭐ 475

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Torchopt ⭐ 460

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

OptNet: Differentiable Optimization as a Layer in Neural Networks

Pytorch Memonger ⭐ 318

Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Asynchronous Distributed Hyperparameter Optimization.

Deeplearning.ai Notes ⭐ 271

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

LibAUC: A Deep Learning Library for X-Risk Optimization

Python binding of SLAM graph optimization framework g2o

Pytorch Trpo ⭐ 252

PyTorch implementation of Trust Region Policy Optimization

Maze Applied Reinforcement Learning Framework

Deeplearningwithtf2.0 ⭐ 227

Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book

Mathsdl Spring19 ⭐ 227

Mathematics of Deep Learning, Courant Insititute, Spring 19

Neuralverification.jl ⭐ 215

Methods to soundly verify deep neural networks

Learningx ⭐ 213

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Neuralgenetic ⭐ 201

Building and training artificial neural networks (regression or classification) using the genetic algorithm.

Auptimizer ⭐ 195

An automatic ML model optimization tool.

A bare-bones Python library for quality diversity optimization.

Nips_2017 ⭐ 185

videos, slides, and others from NIPS 2017

Optimistix ⭐ 185

Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/

Deep Learning Dynamics Paper List ⭐ 183

This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.

Ml Systems ⭐ 175

papers on scalable and efficient machine learning systems

L4casadi ⭐ 175

Use PyTorch Models with CasADi and Acados in Python, C(++) or Matlab

Quantum Neural Networks ⭐ 156

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.

Yopo You Only Propagate Once ⭐ 148

Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle

Adatune ⭐ 144

Gradient based Hyperparameter Tuning library in PyTorch

Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization

E2e Model Learning ⭐ 133

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

Learn To Select Data ⭐ 131

Code for Learning to select data for transfer learning with Bayesian Optimization

Mlogger ⭐ 127

a lightweight and simple logger for Machine Learning

Ml Resources ⭐ 124

Personal and biased selection of ML resources

Differentiable Programming Algorithms in Modern C++

[ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Fluxtraining.jl ⭐ 109

A flexible neural net training library inspired by fast.ai

Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learning.

Roboticsmaster ⭐ 104

Online Robotics Master

The Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum circuits (also known as parametrized quantum circuits).

Quant Notes ⭐ 101

Quantitative Interview Preparation Guide, updated version here ==>

Adaptive Inertia Adai ⭐ 94

The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our ICML2022 Oral paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".

Deep Learning Specialization Coursera ⭐ 92

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

A Deep Rl Approach For Sdn Routing Optimization ⭐ 90

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

Benderopt ⭐ 85

Black-box optimization library

A general-purpose, deep learning-first library for constrained optimization in Pytorch

Pyhopper ⭐ 82

PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.

Jestimator ⭐ 77

Amos optimizer with JEstimator lib.

Deeplearningwithpytorch ⭐ 76

Ista Net ⭐ 75

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR20108 (Tensorflow Code)

Deep_learning_topology_opt ⭐ 72

Code for paper "Self-Directed Online Machine Learning for Topology Optimization"

Neural Deferred Shading ⭐ 70

Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)

Hyper Engine ⭐ 69

Python library for Bayesian hyper-parameters optimization

Awesome Nn Optimization ⭐ 65

Awesome list for Neural Network Optimization methods.

Awesome Python Data Science ⭐ 65

A curated list of Python libraries used for data science.

Revisiting RCAN: Improved Training for Image Super-Resolution

Paper End2end Dl ⭐ 53

📝 "End-to-end Deep Learning of Optimization Heuristics" (🥇 PACT'17 Best Paper)

Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch

Hessianfree ⭐ 53

Hessian-free optimization for deep networks

Deep learning for EEG analysis. This script was used to generate the results of the paper "Joint Optimization of Algorithmic Suites for EEG analysis" at EMBC 2014

Deep Learning For Metasurface Optimization ⭐ 51

Deep Learning for metasurface parameter optimization using tensorflow/keras

The notes for Math, Machine Learning, Deep Learning and Research papers.

Robust Adv Malware Detection ⭐ 49

Code repository for the paper "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware"

Neural Net Optimization ⭐ 49

PyTorch implementations of recent optimization algorithms for deep learning.

Reading Notes Ml ⭐ 48

Progress, Notes, Summaries and a lot of Questions on Machine Learning

A _guide_ To_data_sciecne_from_mathematics ⭐ 47

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

A_chronology_of_deep_learning ⭐ 45

Tracing back and exposing in chronological order the main ideas in the field of deep learning, to help everyone better understand the current intense research in AI.

S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.

Lectures2020 ⭐ 42

Drl Agents ⭐ 41

research and implementations of Deep RL agents and their applications

Moldqn Pytorch ⭐ 40

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

PyTorch implementation of Proximal Policy Optimization

DRiLLS: Deep Reinforcement Learning for Logic Synthesis Optimization (ASPDAC'20)

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