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NVR with realtime local object detection for IP cameras
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Face recognition using Tensorflow
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
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.
A best practice for tensorflow project template architecture.
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
High level network definitions with pre-trained weights in TensorFlow
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
Learning cell communication from spatial graphs of cells