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An open-source toolkit for computer vision tasks, supporting a wide range of deep learning models and applications.
A free, API-less web UI for interacting with GPT-3.5 and GPT-4 language models.
A beginner's guide to machine learning and image classification with neural networks in Python.
An AI-powered legal assistant that helps developers navigate Chinese legal regulations.
Official implementation of a paper on multimodal chain-of-thought reasoning in language models.
Implementation and experiments of various graph embedding algorithms for developers building AI-powered applications.
Open-source pre-training model framework in PyTorch with a pre-trained model zoo for natural language processing tasks.
A comprehensive multimodal system for long-term streaming video and audio interactions using large language models.
A voice assistant platform that leverages AI to create an interactive and responsive virtual assistant.
Unofficial implementation of the LaneNet model for real-time lane detection in self-driving car applications.
A library of scikit-learn compatible categorical variable encoders for machine learning applications.
A set of learning notes for the Apollo autonomous driving framework, useful for developers building self-driving car systems.
A collection of notes and Python implementations of statistical learning methods.
Keras Temporal Convolutional Network (TCN) library for building deep learning models with temporal dependencies.
A curated list of deep learning applications in computational biology, useful for bioinformatics developers.
A library for training PyTorch models with differential privacy, enabling privacy-preserving machine learning.
A Python script that generates high-resolution depth maps for the Stable Diffusion WebUI, a popular AI-powered image generation tool.
A C++ library for GPU computing patterns and behaviors, suitable for high-performance computing applications.
A C++ project for deploying large language models (LLMs) like ChatGLM and Baichuan using the MNN framework.
A library of 200+ deep learning architecture diagrams and figures for use in blog posts, presentations, and papers.
A Python library for extracting key information from text documents and visualizing it as a semantic graph.
Tools for building GPU clusters for machine learning and AI workloads
A Python library for exploring secrets of RLHF (Reward-Weighted Maximum Likelihood Estimation) in large language models
This repository contains code examples and notes for learning the PyTorch deep learning library.
A simple facial recognition API for .NET that works on Windows, macOS, and Linux with support for various ML tasks.
Zero-shot image restoration using a denoising diffusion model that can remove various types of noise and artifacts.
A Python library for generating prompts for the Claude AI language model.
Convolutional neural network for analyzing pentest screenshots, useful for security researchers and penetration testers.
Token compression library for AI agents—5 techniques to cut LLM costs by ~50%.
A speech recognition server based on Vosk and Kaldi libraries, supporting WebSocket, gRPC, and WebRTC protocols.
A collection of Jupyter notebooks and tutorials on using LangChain and prompt engineering with large language models like ChatGPT.
A Python library for reconstructing watertight meshes from point clouds using deep learning.
A collection of resources for learning natural language processing, including Jupyter notebooks.
A Jupyter Notebook for visualizing 3D object detection and LiDAR point clouds from the KITTI dataset.
A curated list of 1000+ GPT models and resources for prompt engineering and AI-powered development.
A research project focused on open-world object detection using continual and contrastive learning techniques.
An image-text multimodal deep learning model for object detection and recognition.
A companion repository for the book 'GANs in Action: Deep learning with Generative Adversarial Networks'.
A repository containing artwork created with the Phimp.me AI-powered photo editing tool.
Neural style algorithm implementation in Torch, a library for building AI-powered creative coding tools.
A comprehensive collection of CVPR conference papers, code, and interpretation resources for computer vision and deep learning enthusiasts.
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
A curated list of awesome tools, demos, and docs for ChatGPT and GPT-3, useful for developers building AI-powered applications.
A modular deep learning framework for multimodal AI research and applications from Facebook AI Research (FAIR).
A collection of important graph embedding, classification and representation learning papers with implementations for vibe coders.
BioGPT is a Python library for using the BioGPT language model for various biological and biomedical applications.
A library for extracting knowledge graphs from unstructured text using the GPT-3 language model.
A collection of basic machine learning algorithm implementations in Python for educational purposes.
Snips NLU is a Python library for extracting meaning from text using natural language processing and machine learning.
A curated collection of papers and resources about transformer models for computer vision applications.
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