Pinned Repositories
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2021
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
ATISS
Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021
AutoAnnotationTool
A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported
cameraStreams
imranmu's Repositories
imranmu/DataCamp
DataCamp data-science courses
imranmu/qmlbook
The source code for the upcoming qml book
imranmu/models
Models and examples built with TensorFlow
imranmu/tf2-object-detection-api-tutorial
Tensorflow 2 Object Detection API Tutorial. This tutorial will take you from installation, to running pre-trained detection model, and training your model with a custom dataset, then exporting it for inference.
imranmu/image_embeddings
Using efficientnet to provide embeddings for retrieval
imranmu/Exporters
Exporters for Babylon.js and gltf file formats
imranmu/dataSetCreation-1
imranmu/GStreamerOpenCV
imranmu/models-1
A collection of pre-trained, state-of-the-art models in the ONNX format
imranmu/open_model_zoo
Pre-trained Deep Learning models and samples (high quality and extremely fast)
imranmu/Object_Detection
Directory structure for Object detection using Object detection api
imranmu/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
imranmu/MobileNet-SSD-RealSense
[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
imranmu/TPU-MobilenetSSD
Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC
imranmu/cvpr2019
Workshop materials for OpenCV day at CVPR 2019 conference
imranmu/glTF-WebGL-PBR
Physically-Based Rendering in glTF 2.0 using WebGL
imranmu/darknet
Extension of the public darknet repository with additional features and code improvements for YOLO.