zhaoxin111

DeepSpeech

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Chart.js

Simple HTML5 Charts using the <canvas> tag

FCN.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

text_classification

all kinds of text classification models and more with deep learning

PRML

PRML algorithms implemented in Python

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

awesome-deep-learning-papers

The most cited deep learning papers

awesome-deep-vision

A curated list of deep learning resources for computer vision

DLTK

Deep Learning Toolkit for Medical Image Analysis

kaggle_diabetic

Team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge

retina-features

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

Deep-Vessel

shadowsocks-android

A shadowsocks client for Android

resnet_cnn_mri_adni

Code for Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification paper

hashing-baseline-for-image-retrieval

:octocat:Various hashing methods for image retrieval and serves as the baselines

ipex-llm

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc.

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

CNN-for-Face-Image-Retrieval

:apple:Face image rerieval

cnn4brca

Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis

Deep_MRI_brain_extraction

3D convolutional neural network for MRI brain extraction

awesome-cbir-papers

📝Awesome and classical image retrieval papers

LungCancerDetection

Use CNN to detect nodules in LIDC dataset.

lung-segmentation-2d

Lung fields segmentation on CXR images using convolutional neural networks.

flask-keras-cnn-image-retrieval

🚀CNN-based image retrieval built on Keras

convolution-layer-visualization-VGG-16

A GUI Tool for visualizing the intermediate layer of VGG-16 CNN trained on Imagenet

ImageRetrieval

Content Based Image Retrieval Techniques (e.g. knn, svm using MatLab GUI)

nn-segmentation-for-lar

Neural networks to segment some type of biomedical images

Dr.DRE

Dr.DRE (Diabetic Retinopathy Epidemiology) is a project aimed to autonomously detect an eye disease called Diabetic Retinopathy through fundus images of eye.

Diabetic-Retinopathy

A Deep Learning Approach To Screen Diabetic Retinopathy from Retinal Fundus Images.

MacularEdemaDataset

500 Color Fundus Images with Labels