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Name: MITAI
Type: User
Name: MITAI
Type: User
This repository contains an implementation of a US address parser built using spaCy NLP library.
Adnotrain
fork from azure exam
a better menu
TensorFlow code and pre-trained models for BERT
The repository contains a U-Net model for semantic segmentation of the documents using pytorch lightning.
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection
PyTorch implementation of Attentive Recurrent Comparators
CUTIE (TensorFlow implementation of Convolutional Universal Text Information Extractor)
Deep neural network to extract intelligent information from invoice documents using PyTorch.
Deep Learning Examples
Code for the online course "Deployment of Machine Learning Models"
Clear Linux-based Docker containers
Using PaddleOCR for prescription drug label extraction.
Creating a face detection FastAPI in Heroku
Fast Segment Anything
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
This repository contains code for paper GLocal-K: Global and Local Kernels for Recommender Systems, published in CIKM 2021
A flexible, intuitive and fast forecasting library
Code and notebooks associated with my blogposts
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
Train TensorFlow model for KYC
This repository is an official PyTorch implementation of our paper “LETNet: Lightweight-Real-time-Semantic-Segmentation-Network-with-Efficient-Transformer-and-CNN”.(TITS2023)
Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.