Showing 481-500 of 7,695 projects
Open source AI chat platform with advanced features that works with any large language model (LLM)
A private AI platform for building agents, assistants, and enterprise search with multi-model support and API connectivity.
A curated list of dedicated resources for the TensorFlow machine learning framework.
Janus-Series: Unified Multimodal Understanding and Generation Models for AI-powered vibe coders.
An autonomous agent framework for building AI-powered chatbots, plugins, and applications across various platforms.
CNTK is an open-source deep learning toolkit for training and deploying AI models.
AgentScope is a Python library for building applications using agent-oriented programming and large language models.
A computer vision library for PyTorch that provides datasets, transforms, and pre-trained models.
Train transformer language models with reinforcement learning using a Python library.
An extremely fast Python type checker and language server, written in Rust, for vibe coders.
High-performance in-browser LLM inference engine for building AI-powered web applications and tools.
A fast BPE tokenizer for use with OpenAI's language models in Python.
Repository of code samples for the book 'Neural Networks and Deep Learning' focused on machine learning.
PyTorch implementations of Generative Adversarial Networks for AI and machine learning research.
A set of Jupyter Notebooks that combine Grounding DINO, Segment Anything, and Stable Diffusion for automatic detection, segmentation, and generation of anything in images.
A collection of various deep learning architectures, models, and tips for AI and machine learning developers.
Mamba is a Python library that provides a state-space modeling architecture for building AI agents and applications.
Materials for learning PyTorch, a deep learning framework, from zero to mastery.
Lightning fast neural graphics primitives for real-time 3D reconstruction, rendering, and more.
An open-source machine learning engineering reference with resources for training, deploying, and scaling AI models.
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