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bilibili-helper

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caffe

Caffe: a fast open framework for deep learning.

caffe-yolov2-windows

caffe-yolov3

A real-time object detection framework of Yolov3 based on caffe

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持自定义函数插件，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python/C++/Go项目树剖析功能/项目源代码自译解能力，新增PDF和Word文献批量总结功能/PDF论文全文翻译功能

crossstagepartialnetworks

Cross Stage Partial Networks

darknet

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

darknet_mobilenet

mobilenet 与darknet yolo

detectron

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

hello-world

jetson-inference

forked from dusty-nv/jetson-inference

jetson-inference-1

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1/TX2.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

mask_rcnn

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

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.

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mobilenetv2-ssdlite

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

mobilenetv2_image_classify

use MobilenetV2 classified images based on TF-slim

modbus

Modbus qt C++ RTU TCP Master Slave

model-zoo

The ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

ncnn-mobilenet-ssd

mobilenet ssd @ ncnn

partialresidualnetworks

partial residual networks

pytorch-caffe-darknet-convert

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

qtwebkit

QtWebKit development repository

robot-grasp-detection

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

segmentation

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

tensorflow-deeplab-v3-plus

DeepLabv3+ built in TensorFlow

tensorflow-yolo-v3

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)