Showing 6181-6200 of 7,695 projects
Framework for writing production-grade agent skills with LLM validation and optimized context windows.
A PyTorch library for video activity recognition using C3D, R3D, and R2Plus1D models.
A Python library that provides dynamic thresholding (CFG scale fix) for Stable Diffusion AI models.
A powerful tool for automated LLM fuzzing to help developers and security researchers identify and mitigate potential jailbreaks.
An open-source runtime for building and managing intelligent agents across local, cloud, and edge environments.
SincNet is a neural architecture for efficiently processing raw audio samples for speech and audio processing tasks.
A tiny Python library for coding with large language models (LLMs) like GPT-3 and ChatGPT.
A collection of Jupyter notebooks and tutorials on using LangChain and prompt engineering with large language models like ChatGPT.
Memory plugin for OpenClaw agents with hybrid vector+BM25 retrieval, cross-encoder reranking, and multi-scope isolation.
LeanCopilot is a C++ library that uses large language models (LLMs) as copilots for theorem proving in the Lean programming language.
PyTorch implementation of the Sparsely-Gated Mixture-of-Experts layer, a powerful AI model architecture.
Classification models trained on ImageNet, for use in computer vision and image classification tasks.
A family of diffusion models for text-to-audio generation, targeting vibe coders who build with AI tools.
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution.
A mirror of ChatGPT based on the GPT-3.5-Turbo model, allowing developers to interact with and build upon the ChatGPT functionality.
An awesome list of resources for research on CLIP, a contrastive language-image pre-training model.
Learn CUDA Programming, a library for developing high-performance, parallel applications on NVIDIA GPUs.
A curated collection of awesome resources for image-to-image translation, a popular computer vision task.
TrustRAG is a Python framework for building reliable and trusted Retrieval Augmented Generation (RAG) models.
A Python library for reconstructing watertight meshes from point clouds using deep learning.
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