手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube

Stable Diffusion web UI

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

Deploy Swin Transformer using TorchServe

CVPR 2021 论文和开源项目合集

Image augmentation for machine learning experiments.

Group-Free 3D Object Detection via Transformers

This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Ba…

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

PyTorch implementation of YOLOv4

Open Source Computer Vision Library

深度学习模型在各大公司实战落地细节解读：主要是通过阅读各种实战文章，梳理模型落地的工程细节，涉及到搜索/推荐/自然语言处理。

Implementation and experiments of graph embedding algorithms.

yolo3+ocr

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

中文常用停用词表（哈工大停用词表、百度停用词表等）

Implementation of Graph Convolutional Networks in TensorFlow

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

Probabilistic time series modeling in Python

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

This is an implementation of node2vec with tensorflow. It can deal with graphs with massive number of nodes or densely connected graphs faster.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo