neural-network
Repositories (1342)
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
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，...
Code for Tensorflow Machine Learning Cookbook
header only, dependency-free deep learning framework in C++14
A flexible framework of neural networks for deep learning
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...
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Publication-ready NN-architecture schematics.
😎 Finding duplicate images made easy!
A general-purpose encoder-decoder framework for Tensorflow
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Supercharge Your Model Training
Rust bindings for the C++ api of PyTorch.
A C++ standalone library for machine learning
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope y...
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
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
🔎 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...
Machine learning, computer vision, statistics and general scientific computing for .NET
Lightning fast C++/CUDA neural network framework
[ICCV 2019] Monocular depth estimation from a single image
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Plain python implementations of basic machine learning algorithms
A JavaScript deep learning and reinforcement learning library.
A library for scientific machine learning and physics-informed learning
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 Ne...
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
NeuralProphet: A simple forecasting package
Fast, distributed, secure AI for Big Data
Scalable and user friendly neural :brain: forecasting algorithms.
PipelineAI
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Ma...
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
Facilitating the design, comparison and sharing of deep text matching models.
This is Andrew NG Coursera Handwritten Notes.
💁♀️Your new best friend powered by an artificial neural network
A best practice for tensorflow project template architecture.