Top 6423 machine-learning open source projects

Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

An open source cybersecurity protocol for syncing decentralized graph data.

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

Interactive Go programming with Jupyter

A library for soundscape synthesis and augmentation

Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.

Asynchronous Distributed Hyperparameter Optimization.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

Matrix manipulation and computation library

Complete machine learning model codes

PCA that iteratively replaces missing data

A python program that uses the concept of OCR using machine learning to identify the characters on a Nigerian license plate

EasyPR 1.5 的DLL版本——通过C#调用DLL文件来实现界面展现。(The DLL version of EasyPR 1.5: Achieving interface display by using the C # language to call DLL file. )

Loud ML is the first open-source AI solution for ICT and IoT automation

Julia on TPUs

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

Global-Locally Self-Attentive Dialogue State Tracker

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

A neural network for end-to-end music source separation

Satellite Image Classification using semantic segmentation methods in deep learning

Sample code for the Model-Based Machine Learning book.

TensorFlow for Raspberry Pi

Text preprocessing, representation and visualization from zero to hero.

Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en Español

Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange

📷 Reactive python package for managing, creating and visualizing different deep-learning image annotation formats

A cleaner way to build neural networks for PyTorch.

Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"

CNN architecture exploration using Genetic Algorithm

Machine Learning Tutorials in Python

videos, slides, and others from NIPS 2017

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Dilated RNNs in pytorch

Deep learning infrastructure for bioinformatics

Distributed DAG (Directed acyclic graph) framework for machine learning with UI

🚤 Never spend O(n) to annotate data again. Fun and precision come free.

Automated music genre classification using machine learning

papers on scalable and efficient machine learning systems

Utilities for preprocessing text for deep learning with Keras

quizzes/assignments for mathematics for machine learning specialization on coursera

A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory

A practical feature engineering handbook

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

Python-based implementations of algorithms for learning on imbalanced data.

Learning kernels to maximize the power of MMD tests

DScribe is a python package for creating machine learning descriptors for atomistic systems.

网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及代码。下为网易云学习链接

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

A collection of experiences utilizing machine learning models from Fritz AI

Distributed Keras Engine, Make Keras faster with only one line of code.

❗️ uplift modeling in scikit-learn style in python 🐍

The Retro Learning Environment (RLE) -- a learning framework for AI

A platform for analysis & development of machine learning models using large de-identified healthcare datasets.

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👋 👌 research codebase for depth-based hand pose estimation using dynamics based tracking and CNNs