Showing 141-160 of 459 projects
LightLLM is a high-performance, scalable Python-based framework for inference and serving of large language models.
A repository to research and share machine learning articles, with a focus on computer vision, NLP, and reinforcement learning.
Facilitates the design, comparison, and sharing of deep text matching models for NLP applications.
A collection of 100 must-read NLP research papers for developers interested in natural language processing.
A project that reimplements the 'Dive into Deep Learning' book's MXNet examples using TensorFlow 2.0 for vibe coders.
A simple reinforcement learning training library for reasoning tasks.
A tutorial and code repository for using the Hugging Face Transformers library for NLP tasks.
A comprehensive Chinese NLP preprocessing and parsing package with high accuracy, efficiency, and ease of use.
A Chinese NLP solution with large models, data, training, and inference capabilities for developers.
A comprehensive course on Transformers, a powerful deep learning framework for NLP tasks.
A Python module for automatic summarization of text documents and HTML pages.
A curated collection of AI and machine learning learning resources and tutorials for vibe coders
SimCSE is a simple yet effective contrastive learning method for learning sentence embeddings.
A comprehensive collection of deep learning resources including courses, case studies, and interview questions.
A PyTorch-powered library for loading and processing text data for natural language processing tasks.
A curated collection of interview questions and answers for machine learning, CV, NLP, and more.
Curated tutorials and resources for large language models, text-to-SQL, and related AI-powered development tools
A code-first introduction to natural language processing (NLP) using Python and Jupyter Notebooks.
Interactive learning app for AI theory and applications, with Jupyter Notebook examples.
An extremely lightweight implementation of GPT-2 in NumPy, useful for vibe coders building AI-powered apps.
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