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add-christmas-hat

Add Christmas hat on one's head based on OpneCV and Dlib

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (ICCV 2019).

cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

darknet

Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used)

deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

deeplabv3-tensorflow

Reimplementation of DeepLabV3

deepnetsforeo

Deep networks for Earth Observation

densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

detectron

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

detr

End-to-End Object Detection with Transformers

dldt

OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository

embarrassingly-parallel-image-classification

Walkthrough demonstrating how trained DNNs (CNTK and TensorFlow) can be applied to massive image sets in ADLS using PySpark on Azure HDInsight clusters

erfnet_pytorch

Pytorch code for semantic segmentation using ERFNet

fastfcn

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

fcis

Fully Convolutional Instance-aware Semantic Segmentation

g-darknet

darknet with GIoU

gscnn

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

icnet-tensorflow

An implementation of ICNet (Real-time image segmentation) in tensorflow, containing train/test phase

image-super-resolution-via-iterative-refinement

Unoffical implementation about Image Super-Resolution via Iterative Refinement by Pytorch

indoor-segmentation

Indoor segmentation for robot navigating, based on tensorflow deeplab model

jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

mask_rcnn

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

meshsegmentation

meshsegnet

PyTorch version of MeshSegNet for tooth segmentation of intraoral scans (point cloud/mesh). The code also includes visdom for training visualization.

microsoft-activation-scripts

A Windows and Office activator using HWID / Ohook / KMS38 / Online KMS activation methods, with a focus on open-source code and fewer antivirus detections.

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

models

Models and examples built with TensorFlow

motrv2

MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors

netron

Visualizer for neural network, deep learning, and machine learning models