neural-network

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

List of articles related to deep learning applied to music

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

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

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).

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

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

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

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

Image Deblurring using Generative Adversarial Networks

YoloV3 Implemented in Tensorflow 2.0

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

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

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

A clear, concise, simple yet powerful and efficient API for deep learning.