Showing 801-820 of 3,069 projects
A library for extracting knowledge graphs from unstructured text using the GPT-3 language model.
A TypeScript-based desktop app for building end-to-end object detection models from images and videos.
A tutorial repository for learning PyTorch, covering computer vision, NLP, and deep learning model deployment.
Comprehensive open-source library of AI research and engineering skills for any AI model.
An open-source deep learning library developed by Amazon for building scalable machine learning models.
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Keras implementation of RetinaNet object detection, a powerful deep learning-based object detection model.
Python implementation of the machine learning techniques from the ISLR textbook.
LLM training code for Databricks foundation models, a tool for vibe coders working with AI and language models.
Efficient AI model backbones developed by Huawei's Noah's Ark Lab, including GhostNet, TNT, and MLP.
A repository sharing notes and references on deploying deep learning models in production.
A lite C++ AI toolkit with 100+ models for computer vision tasks like detection, segmentation, and image generation.
Simple-evals is a Python library for running OpenAI's model evaluation scripts.
Tune-A-Video is a one-shot text-to-video generation tool that fine-tunes image diffusion models.
A collection of pre-trained deep learning models and demos optimized for high performance using the OpenVINO toolkit.
Serves, optimizes, and scales PyTorch models for production use
High-performance model framework for iOS/OSX, providing efficient data mapping and model management.
Instruction Tuning with GPT-4, a library for fine-tuning large language models like GPT-4 for custom tasks.
Fast C++ inference engine for Transformer models, supporting CUDA, MKL, and other optimizations.
This repository contains the book 'Large Language Models' authored by a team of researchers.
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