neural-network

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

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

【干货】史上最全的PyTorch学习资源汇总

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 !

Machine learning, computer vision, statistics and general scientific computing for .NET

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

:earth_americas: Simple and ready-to-use tutorials for TensorFlow

Plain python implementations of basic machine learning algorithms

A library for scientific machine learning and physics-informed learning

A JavaScript deep learning and reinforcement learning library.

Data Science Roadmap from A to Z

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

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

NeuralProphet: A simple forecasting package

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.

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

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