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A comprehensive collection of open-source AI/ML modules and models for a wide range of computer vision and NLP tasks, suitable for vibe coders.
A framework for training and deploying latent diffusion models for image reconstruction and generation.
A CUDA-accelerated robotics library for motion planning and control using PyTorch.
A platform for accelerating embodied AI research, with a focus on robotics and simulation.
An AI-powered image matting library for image background removal, format conversion, and compression.
A modular, high-performance noise generation library using SIMD, C++17, and templates for procedural content creation.
Protege Desktop is a free, open-source ontology editor and knowledge-base framework for building intelligent systems.
Differentiable Vector Graphics Rasterization library for creating custom AI-powered graphics and visualizations.
A curated list of famous vision-language models and their architectures for developers working with AI tools.
LakeSail is a Rust-based computation framework that unifies batch processing, stream processing, and AI workloads.
A minimal implementation of DeepMind's Genie world model for AI and machine learning research.
Helpful tools and examples for working with flex-attention in PyTorch
Examples of programs built using the Modal serverless platform for AI and machine learning applications.
A Python library for learning and using OpenCV, a popular computer vision library.
AnomalyGPT is a powerful tool for detecting industrial anomalies using large vision-language models.
A PyTorch implementation of the Mean Flows for One-step Generative Modeling paper, for vibe coders building AI tools.
A Python library for training a humanoid robot to walk using reinforcement learning.
A production-ready GraphRAG platform with multi-modal indexing, AI agents, and scalable Kubernetes deployment.
RTP-LLM is a high-performance LLM inference engine from Alibaba for diverse AI applications.
A collection of state-of-the-art deep learning scripts for various AI/ML tasks, easily trainable and deployable.
A comprehensive repository covering papers, codes, datasets, tutorials, and applications for transfer learning, domain adaptation, and more.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
An open-source real-time object detection library powered by the YOLOv10 neural network model.
ImageBind is a multimodal learning framework that learns a single embedding space to represent diverse modalities like images, text, and more.
A PyTorch extension that provides tools for easy mixed precision and distributed training in PyTorch.
A Python library for global optimization using Gaussian processes, useful for AI/ML developers.
A comprehensive tutorial for the LangChain library, a framework for building applications with large language models.
Python code for a book on probabilistic machine learning, with support for various ML frameworks.
A state-of-the-art deep learning library for time series and sequence modeling in PyTorch/fastai.
Real-time webcam demo with SmolVLM and llama.cpp server for AI-powered coding tools and applications.
A curated collection of high-quality, pretrained Chinese NLP models for various tasks and applications.
A Python library for generating 3D models from a single input image using cross-domain diffusion models.
This book provides insights into interpretable machine learning techniques for developers.
A free and open-source AI image upscaler and enhancer built using Stable Diffusion, a powerful machine learning model.
Stay on top of trending topics on social media and the web with AI-powered topic discovery.
A PyTorch implementation of the SuperGlue graph neural network for feature matching and pose estimation.
DeepVariant is an AI-powered bioinformatics pipeline for calling genetic variants from DNA sequencing data.
A differentiable digital signal processing library for building AI-powered audio applications and models.
A Jupyter Notebook repository that provides visualizations and explanations for machine learning concepts and algorithms.
A fast and versatile tool for recording, slicing, and rendering Bilibili live streams with integrated ML models.
A framework for prompt tuning using Intent-based Prompt Calibration, focused on AI coding tools.
A comprehensive set of fairness metrics and algorithms to detect and mitigate bias in AI/ML models and datasets.
A diverse and well-annotated dataset for license plate detection and recognition
A Python library that uses deep learning to automatically remove or add mosaics to images and videos.
RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.
An efficient video loader for deep learning with smart shuffling, easy to use in AI/ML projects.
A Python library for extracting structured data from documents using advanced AI techniques.
A PyTorch-based implementation of the YOLO object detection model for the NVIDIA DeepStream SDK.
Compares the performance of multiple NVIDIA GPUs and Apple Silicon for running large language model inference.
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