neural-network

onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.

Open deep learning compiler stack for Kendryte AI accelerators ✨

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

tfts: Time Series Deep Learning Models in TensorFlow

DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

Epsilla is a high performance Vector Database Management System

Deeplearning Algorithms Tutorial

Graphics Processing Units Molecular Dynamics

Implementations of NeRF variants based on Taichi + PyTorch

Descriptive Deep Learning

Deep learning with spiking neural networks (SNNs) in PyTorch.

High-performance Vision library in Python. Scale your research, not boilerplate.

Machine learning framework for both deep learning and traditional algorithms

:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.

:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

A deep neural network that learns to drive in video games

AI Productivity Tool - Free and open source, improve user productivity, and protect privacy and data security. Including but not limited to: built-in local exclusive ChatGPT, DeepSeek, Phi, Qwen and other models, one-click batch intelligent processing of pictures, videos, audio, etc.

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

A simple library for creating complex neural networks

Omega-AI：基于java打造的深度学习框架，帮助你快速搭建神经网络，实现模型推理与训练，引擎支持自动求导，多线程与GPU运算，GPU支持CUDA，CUDNN。

A lightweight C library for artificial neural networks

[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR

NeuPy is a Tensorflow based python library for prototyping and building neural networks

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

Cookiecutter template for FastAPI projects using: Machine Learning, uv, Github Actions and Pytests

A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.

Multi-object trackers in Python

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Physics Informed Machine Learning Tutorials (Pytorch and Jax)