Deep Learning in Production

Deep Learning in Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

pytorch_classification

pytorch_classification

利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码

SentimentAnalysis

SentimentAnalysis

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

CTAI

CTAI

By @小铭

基于深度学习的肿瘤辅助诊断系统,以图像分割为核心,利用人工智能完成肿瘤区域的识别勾画并提供肿瘤区域的特征来辅助医生进行诊断。有完整的模型构建、后端架设、工业级部署和前端访问功能。TensorRT、PyTorch 、OpenCV 、Flask、Vue

Lofi

Lofi

ML-supported lo-fi music generator

snap n eat

snap n eat

Food detection and recommendation with deep learning

Yolov7 Flask

Yolov7 Flask

A Beautiful Flask Web API for Yolov7 (and custom) models

onnx web

onnx web

web UI for GPU-accelerated ONNX pipelines like Stable Diffusion, even on Windows and AMD

portrait matting unet flask

portrait matting unet flask

Portrait Mating implementation in UNet with PyTorch.

lecture summarizer

lecture summarizer

Lecture summarization with BERT

PytorchDeepLearing

PytorchDeepLearing

Meidcal Image Segmentation Pytorch Version

100DaysOfML

100DaysOfML

100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

deepstory

deepstory

Deepstory turns a text/generated text into a video where the character is animated to speak your story using his/her voice.

Text Summarization

Text Summarization

Abstractive and Extractive Text summarization using Transformers.

Plant_Disease_Detector

Plant_Disease_Detector

AI powered plant disease detection and assistance platform currently available as an App and API.

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