Showing 841-860 of 3,069 projects
NeuralProphet is a simple forecasting package that uses neural networks and time series analysis to make predictions.
A foundational AI agent model for building agent-based, reasoning, and coding capabilities.
A powerful text-to-video generation model that can turn prompts into high-quality videos, built for AI-driven developers.
An open-source Python library that provides an API for interacting with large language models (LLMs) like GPT-3.
CLUE is a comprehensive Chinese language understanding evaluation benchmark with datasets, baselines, pre-trained models, and a leaderboard.
A Python library that provides a simple interface for using popular NLP models like BERT, GPT-2, XLNet, and T5 for various tasks.
A library for generating 3D models using compact, structured latent representations.
Rust implementation of OpenClaw focusing on privacy-preserving AI model execution and security hardening.
Olares is an open-source personal cloud platform to reclaim your data and enable local AI computing.
ACE-Step is a foundation model for music generation, built with Python and focused on vibe coders.
Zep is a Python library that provides examples, integrations, and tools for working with large language models (LLMs).
An efficient, scalable RL training framework for reasoning and search engine calling interleaved with large language models.
Collection of 100+ Jupyter Notebook tutorials for fine-tuning AI models on various platforms.
Comprehensive cheatsheet for learning and using transformers and large language models from Stanford's CME 295 course.
Gemma is an open-source large language model (LLM) library from Google DeepMind for building AI-powered applications.
Set of tools to assess and improve the security of large language models (LLMs) like GPT-3.
The official Go SDK for Model Context Protocol servers and clients, maintained in collaboration with Google.
A unified and scalable ML library for large-scale distributed training, model serving, and federated learning.
Scalable neural forecasting algorithms for time-series data, with support for various deep learning models.
A differentiable architecture search library for convolutional and recurrent neural networks
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