1.blakeblackshear / frigate
NVR with realtime local object detection for IP cameras
Ranked by Attention Score: stars gained over the last 7 complete days
34 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. 💜
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.
Deep Learning for humans
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.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
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.
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
Pretrained model hub for Keras 3.
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
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 best practice for tensorflow project template architecture.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
[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
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.
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