Stars
This repository contains all the Machine Learning projects that I have developed/worked in the areas of Natural Language Processing and Computer Vision by using the Machine Learning frameworks such…
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Natural Language Processing Tutorial for Deep Learning Researchers
100+ Chinese Word Vectors 上百种预训练中文词向量
A library for Multilingual Unsupervised or Supervised word Embeddings
A library for efficient similarity search and clustering of dense vectors.
A TensorFlow Implementation of the Transformer: Attention Is All You Need
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
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Models and examples built with TensorFlow
An Open Source Machine Learning Framework for Everyone
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …