Showing 401-420 of 459 projects
This Python repository contains code examples for machine learning, NLP, and deep learning using Keras and Theano
Detoxify is a Python library with trained models to detect toxic comments, built using Pytorch Lightning and Transformers.
A collection of deep learning experiments and tutorials to help developers understand and apply deep learning techniques.
Starter code for solving real-world text data problems using NLP techniques like Gensim Word2Vec and text classification.
This Jupyter Notebook series covers the fundamentals of NLP and Computer Vision, leading to cutting-edge Vision-Language Models.
A plug-and-play language model implementation that allows steering the topic and attributes of GPT-2 models.
MeZO: A novel fine-tuning method for language models that requires just forward passes, ideal for vibe coders.
A .NET implementation of the popular jieba Chinese text segmentation library, useful for NLP and search applications.
A neural question generation model built using transformers for generating high-quality questions from text.
Open-source search and text analytics platform for exploring large document collections with semantic search and NLP
A Python library for automated neural architecture search, enabling AI-powered model discovery.
A curated list of NLP resources focused on Transformer networks, attention mechanism, and large language models.
Neural Network Compression Framework for enhanced OpenVINO™ inference
A comprehensive collection of Transformer models for natural language processing tasks
A frontier multimodal foundation model for advanced image and video understanding tasks.
A Chinese GPT2 project for generating news article titles with detailed annotations.
A Thai natural language processing library for Python that provides tools for text processing, word segmentation, and more.
A curated collection of books and resources for various programming languages and technologies, including AI, data, and web development.
A large multimodal multilingual dataset of image-text pairs from Wikipedia for machine learning research.
A unified framework for efficient fine-tuning and retrieval augmented generation (RAG) using LLMs.
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