Showing 201-220 of 459 projects
An easy-to-use natural language processing library built on the Gluon deep learning framework.
A curated collection of open-source Chinese medical NLP resources including datasets, models, and more.
A collection of summaries for machine learning research papers, useful for developers interested in AI and deep learning.
An open-source NLP book and library for developers interested in natural language processing and AI.
A collection of Jupyter Notebook tutorials on solving real-world problems with machine learning and deep learning using PyTorch.
Unified backend API for open-source large language models like LLaMA, Bloom, ChatGLM, and more.
A comprehensive tutorial repository covering data science, machine learning, and NLP topics.
A repository with notes and solutions for common algorithms and interview questions, especially for AI/ML roles.
A comprehensive reading list for machine translation research maintained by Tsinghua University NLP Group.
The Alan AI SDK for Web provides a self-coding system for building AI-powered voice and conversational experiences in web apps.
A comprehensive course on accelerated natural language processing using AWS cloud services and tools.
CodeSearchNet provides datasets, tools, and benchmarks for representation learning of code, enabling AI-powered code discovery.
A free online course teaching advanced NLP with spaCy
A library of NLP algorithms and utilities for text classification, generation, extraction, and more using the Transformers library.
news-please is an integrated web crawler and information extractor for news that works out of the box.
Texar is a toolkit for machine learning, NLP, and text generation in TensorFlow, part of the CASL project.
This GitHub repository provides a Bootcamp for dealing with unstructured data like reverse image search, audio search, and NLP.
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification.
A modular reinforcement learning library to fine-tune language models to human preferences
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators for deep learning and NLP tasks
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