neural-network

Scalable and user friendly neural :brain: forecasting algorithms.

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

Facilitating the design, comparison and sharing of deep text matching models.

This is Andrew NG Coursera Handwritten Notes.

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Carefully curated resource links for data science in one place

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

a delightful machine learning tool that allows you to train, test, and use models without writing code

Machine learning glossary

This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.

Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.

Deep Learning and deep reinforcement learning research papers and some codes

Sandbox for training deep learning networks

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

AI comic and manga translator app/browser extension for automatically translating comics, manga, manhwa, BDs, fumetti, and more in multiple languages and formats (Images, PDF, EPUB, CBR, CBZ etc).

MuZero

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

Simple and comprehensive tutorials in TensorFlow

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

Everything we actually know about the Apple Neural Engine (ANE)

YoloV3 Implemented in Tensorflow 2.0

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

Convolutional recurrent network in pytorch

High-efficiency floating-point neural network inference operators for mobile, server, and Web