neural-network

Efficiently computes derivatives of NumPy code.

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）

Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

Friendly machine learning for the web! 🤖

🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

A flexible, high-performance serving system for machine learning models

Code for Tensorflow Machine Learning Cookbook

Gorgonia is a library that helps facilitate machine learning in Go.

Gluon CV Toolkit

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Publication-ready NN-architecture schematics.

😎 Finding duplicate images made easy!

Supercharge Your Model Training

Rust bindings for the C++ api of PyTorch.

A C++ standalone library for machine learning

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

On-device AI across mobile, embedded and edge for PyTorch

An Engine-Agnostic Deep Learning Framework in Java

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

不玩晦涩不搞少数派的 AI 入门圣经，从学生到工程师都能轻松掌握。涵盖神经网络到大模型、顶层设计到微观原理、工程实现到算法基础。 学完后，大家能彻底看懂为什么下一 token 预测这个看似不起眼的能力可以改变世界，也能发现原来 AI 并没有想象中那么神秘、那么高不可攀。 Let's just beat it !

Lightning fast C++/CUDA neural network framework

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

[ICCV 2019] Monocular depth estimation from a single image

Plain python implementations of basic machine learning algorithms

A library for scientific machine learning and physics-informed learning

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Data Science Roadmap from A to Z

NeuralProphet: A simple forecasting package