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State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Deploy a ML inference service on a budget in less than 10 lines of code.
Industry-strength Computer Vision workflows with Keras
A curated list of awesome Deep Learning tutorials, projects and communities.
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Train a object detection model with the Tensorflow Object Detection API and Tensorflow 2.
Reference models and tools for Cloud TPUs.
A complete daily plan for studying to become a machine learning engineer.
A program made to copy your files from your host to a container and vice versa.
Keras Temporal Convolutional Network.
Visualizer for neural network, deep learning and machine learning models
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV
Open-source IoT Platform - Device management, data collection, processing and visualization.
Stores documents used by the TensorFlow developer community
YOLOv3 Implementation in TensorFlow 1.1X
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
This project is aimed to recognise the license plate of the vehicles by the CCTV camera and process the image to get the license plate number.
this repository accompanies the book "Grokking Deep Learning"