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Code for ALBEF: a new vision-language pre-training method
使用Bert,ERNIE,进行中文文本分类
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Pytorch implementation of "Graph Convolutional Networks for Text Classification"
LibCity: An Open Library for Urban Spatio-temporal Data Mining
Paper list in traffic prediction field
中文LLaMA-2 & Alpaca-2大模型二期项目 + 16K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs, including 16K long context models)
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A library for graph deep learning research
Deep Spatio-Temporal Neural Network (DSTN)
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
Firefly: 大模型训练工具,支持训练Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型
Implementation of Graph Auto-Encoders in TensorFlow
Implementation of Graph Convolutional Networks in TensorFlow
Graph Convolution Network for PyTorch
Must-read papers on graph neural networks (GNN)
An Industrial Graph Neural Network Framework
Representation learning on large graphs using stochastic graph convolutions.
图像中文描述+视觉注意力
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Keras implementation of Deep Convolutional Generative Adversarial Networks
Inference code for LLaMA models
Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
Must-read papers on network representation learning (NRL) / network embedding (NE)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.