A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

OpenVX sample implementation

Open standard for machine learning interoperability

Deep Patch Visual Odometry

a language for fast, portable data-parallel computation

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

Open Service Broker API Specification

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

Trainable models and NN optimization tools

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Open MMLab Detection Toolbox

A MXNet implementation of Mask R-CNN

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Models and examples built with TensorFlow

Convert PyTorch model to Caffemodel

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

this repository is the implementation of MTCNN with no framework, Just need opencv and openblas

Computation using data flow graphs for scalable machine learning

A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.