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albumentations

fast image augmentation library and easy to use wrapper around other libraries

basketball_trajectory_prediction

This repo is an open source of paper : Applying bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction.

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

carvana-challenge

My repository for the Carvana Image Masking Challenge

coco-ui

MS COCO Annotation UIs

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-image-matting-pytorch

Deep Image Matting implementation in PyTorch

deep-learning

deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

defocus_segmentation

LBP-based segmentation of defocus blur

deformable-convnets

Deformable Convolutional Networks

densecap

Dense image captioning in Torch

detectron

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

emotion-recognition

Real time emotion recognition

fast-neural-style

Feedforward style transfer

fastdup

FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similaritity, learn the normal behavior and temporal interactions between images. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to be sent for tagging. FastDup scales to millions of images running on CPU only.

faster_rcnn

Faster R-CNN

gated_cnn

Keras implementation of “Gated Linear Unit ”

gesture-calculator

Reference:https://github.com/evilport2/simple-opencv-calculator

grass_pytorch

PyTorch Implementation of GRASS

gscnn

Gated-Shape CNN for Semantic Segmentation

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and MXNet.

hrnet-semantic-segmentation

High-resolution representation learning (HRNets) for Semantic Segmentation

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

indexnet_matting

Indices Matter: Learning to Index for Deep Image Matting

kornia

Open Source Differentiable Computer Vision Library for PyTorch

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

master-theses-ntnu

meshcnn

Convolutional Neural Network for 3D meshes in PyTorch

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722