Stars
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
🤗 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.
Unsupervised text tokenizer for Neural Network-based text generation.
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
BertViz: Visualize Attention in Transformer Models
Facilitating the design, comparison and sharing of deep text matching models.
TensorFlow code and pre-trained models for BERT
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Benchmarks of approximate nearest neighbor libraries in Python
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Learning embeddings for classification, retrieval and ranking.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
An Open Source Machine Learning Framework for Everyone
Vert.x is a tool-kit for building reactive applications on the JVM
ARC Chrome is deprecated. Please move to https://github.com/advanced-rest-client/arc-electron/
Netty project - an event-driven asynchronous network application framework
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.