machine-learning

Resources to learn AI

Examples of programs built using Modal

This codebase demonstrates how to synthesize realistic 3D character animations given an arbitrary speech signal and a static character mesh.

XAI - An eXplainability toolbox for machine learning

Code / solutions for Mathematics for Machine Learning (MML Book)

Earth observation processing framework for machine learning in Python

Papers, repository and other data about anime or manga research. Please let me know if you have information that the list does not include.

Bringing together outstanding artificial intelligence (AI) open source projects from around the world.

A Framework for Encrypted Machine Learning in TensorFlow

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

Maia is a human-like neural network chess engine trained on millions of human games.

⚡️The spatial perception framework for rapidly building smart robots and spaces

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.

《深度学习入门：基于Python的理论与实现》电子版及配套代码​。​

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Data Science and Machine Learning projects with source code.

NFStream: a Flexible Network Data Analysis Framework.

TensorFlow plugin for the Unreal Engine.

pyclustering is a Python, C++ data mining library.

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

The simplest way to serve AI/ML models in production

Scalable Python DS & ML, in an API compatible & lightning fast way.

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

:octocat:120+国内高校课程资源纯手工整理，欢迎补充、修订