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darknet

Convolutional Neural Networks

deep_learning_object_detection

A paper list of object detection using deep learning.

deepmask

Torch implementation of DeepMask and SharpMask

deepmask-pytorch

PyTorch re-implementation of DeepMask

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

european_electricity_generation

ev_mode_classifier

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

instpred

Predicting Future Instance Segmentation by Forecasting Convolutional Features

maskrcnn-benchmark

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

mmdetection

Open MMLab Detection Toolbox with PyTorch 1.0

or_and_weights

Instance segmentation: Papers, code and pre-trained weights

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

pytorch-yolo2

Convert https://pjreddie.com/darknet/yolo/ into pytorch

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

retinamask

RetinaMask

rfbnet

Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

yolact

A simple, fully convolutional model for real-time instance segmentation.

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > iOS