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cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cyc2018.github.io

:blush: 个人主页

de-cnn

Code for ACL 2018 paper "Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction"

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep_learning_utilities_cpu

Utilities for Intel optimized Deep learning frameworks

detr

End-to-End Object Detection with Transformers

diffusion

Efficient Diffusion for Image Retrieval

dl_notebooks

This contains all the notebooks mentioned in blog.

east

A tensorflow implementation of EAST text detector

ecdemo

edge-animal-camera

Diploma project, consisting of object detection server running on Raspberry Pi with use of Movidius and Angular-based client application.

edge-ml

Quantized Tensorflow Estimator for Google EdgeTpu Accelerator, Dev Board and Intel Neural Compute Stick 2

enet-real-time-semantic-segmentation

ENet - A Neural Net Architecture for real time Semantic Segmentation

erp_parent

进销存前后端分离

erpnext

Open Source Alternative to SAP

eyes-for-blind

IoT Final Project. Raspberry Pi 3B + Intel Realsense D415 + Mobilenet-SSD + Flask

facetracking-ncs-rpi3

Face Traking Eyes using the RPI3 + NCS1/2(Intel Movidius Neural Compute Stick) + OpenVINO Toolkit

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

fastai

The fastai deep learning library, plus lessons and tutorials

fastfcn

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

flask-webapp-with-maskrcnn

maskrcnn object detection Flask web app

flutter_tflite

Flutter plugin for TensorFlow Lite

food-101-keras

Food Classification with Deep Learning in Keras / Tensorflow

food-classification-task-transfer-learning

The application demonstrates the advantage of using transfer learning for smaller datasets. Food-11 is a small dataset with 11K images for 11 categories of food. It uses features learnt by already trained VGG16 on large Imagenet data to train a classifier for Food Classification Task..

food-detection-by-yolov2-with-transfer-learning

multi-object food detection system by DCNN and YOLOv2 strategy, with transferring features and class activation mapping, support mobilenet, mobilenetv2, resnet and darknet.

frozen_graph_tensorflow

Save, Load Frozen Graph and Do Inference From pb Format Frozen Graph in TensorFlow.

fruit-images-dataset

Fruits-360: A dataset of images containing fruits and vegetables

github.io

blog