Showing 1201-1220 of 3,069 projects
Official Python SDK for Claude API—LLM wrapper for building AI apps with Anthropic's models
An open-source project that explores the use of world models for reinforcement learning in diverse domains like Minecraft.
An app to interact privately with your documents using the power of GPT, with no data leaks.
A C++ library for distributed large language model inference, allowing developers to build powerful AI applications with a cluster of home devices.
OneTrainer is a comprehensive solution for training Diffusion models, including fine-tuning, LORA, and more.
This repository provides examples and utilities for fine-tuning large language models (LLMs) using the PEFT library.
UEViewer is a powerful cross-platform tool for viewing and exporting Unreal Engine 1-4 assets.
A free API that provides access to the DeepSeek-V3 and R1 large language models, enabling developers to build AI-powered chatbots and applications.
A curated list of 100+ libraries and frameworks for AI engineers building with large language models (LLMs).
An open-source large-scale manipulation platform for scalable and intelligent robotic systems.
A lightweight, self-contained Rust library for running Tensorflow and ONNX models with no dependencies
An open-source data logging library for machine learning models and data pipelines.
A unified platform for researchers to easily use and integrate various large language models and parameter-efficient techniques.
Large-scale, informative, and diverse multi-round chat data and models for chatbot and language model development.
A library for running Caffe models in TensorFlow, enabling developers to leverage existing Caffe models in their TensorFlow-based projects.
Open and efficient foundation language models for building advanced AI applications
A PyTorch-based computer vision foundation model with deformable convolutions for object detection and segmentation.
A GitHub repository providing a metric depth estimation model from a single image using deep learning.
A book on the foundations and models of machine translation, including deep learning and neural machine translation.
Turn expensive prompts into cheap fine-tuned models for AI developers and ML engineers.
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