1.blakeblackshear / frigate
NVR with realtime local object detection for IP cameras
Ranked by Attention Score: stars gained over the last 7 complete days
66 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
NVR with realtime local object detection for IP cameras
We write your reusable computer vision tools. 💜
The free and privacy-friendly screen recorder with no limits 🎥
Learn ML engineering for free in 4 months! Register here 👇🏼
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Open3D: A Modern Library for 3D Data Processing
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Visualizer for neural network, deep learning and machine learning models
Self-hosted realtime soundscape analyser for birds, bats and other wildlife. Multi-model local AI inference, runs 24/7 on a Raspberry Pi.
AI-Powered Photos App 🌈💎✨
Deep Learning for humans
ncnn is a high-performance neural network inference framework optimized for the mobile platform
The Cloud Native AI Platform
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Open standard for machine learning interoperability
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
High-performance TensorFlow library for quantitative finance.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Deezer source separation library including pretrained models.
机器学习相关教程
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
An Open Source Machine Learning Framework for Everyone
🥇掘金翻译计划,可能是世界最大最好的英译中技术社区,最懂读者和译者的翻译平台:
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A course in reinforcement learning in the wild
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Graph Neural Networks with Keras and Tensorflow 2.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Your new Mentor for Data Science E-Learning.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
一款入门级的人脸、视频、文字检测以及识别的项目.
AutoML library for deep learning
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
Pretrained model hub for Keras 3.
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
A collection of infrastructure and tools for research in neural network interpretability.
A best practice for tensorflow project template architecture.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Gaining advanced insights from Git repository history.
Machine learning platform for Web developers
Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
A lightweight header-only library for using Keras (TensorFlow) models in C++.
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
Upscale an image by a factor of 4, while generating photo-realistic details.
PyTorch to Keras model convertor
QKeras: a quantization deep learning library for Tensorflow Keras
Neural networks toolbox focused on medical image analysis
Address book for computer vision models.