Recommender Learning with Tensorflow2.x

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Navigating Spreading-out Graph For Approximate Nearest Neighbor Search

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

Generate embeddings from large-scale graph-structured data.

Implementation of Graph Convolutional Networks in TensorFlow

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Representation learning on large graphs using stochastic graph convolutions.

Best Practices on Recommendation Systems

LINE: Large-scale information network embedding

A distributed graph deep learning framework.

Image restoration with neural networks but without learning.

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

A natural language modeling framework based on PyTorch

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

OpenCV问答群不再维护。有问题，自己去搜索。Google能找到大部分答案。

Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

The world's simplest facial recognition api for Python and the command line

Action Recognition Toolbox for CUHK&ETHZ&SIAT submission to ActivityNet 2016

code for R-C3D

VIP cheatsheets for Stanford's CS 229 Machine Learning

Non-local Neural Networks for Video Classification

temporal action detection with SSN

PyTorch implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

Image-to-Image Translation in PyTorch

The Theano code for the CVPR 2017 paper "Semantic Compositional Networks for Visual Captioning"

Not Suitable for Work (NSFW) classification using deep neural network Caffe models.