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Name: SREEHAS
Type: User
Name: SREEHAS
Type: User
Making big AI models cheaper, easier, and more scalable
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
CUAD (NeurIPS 2021)
Code and data belonging to our CSCW 2019 paper: "Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites".
darkpattern detection using DL
react-pivottable in Dash
OCR toolbox from Davar-Lab
survival analysis
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
DeepSurv is a deep learning approach to survival analysis.
Implementation of the DeepLog anomaly detection system
Detectron2 for Document Layout Analysis
Dockerizing Django with Postgres, Gunicorn, and Nginx
Simple django application to collect time series data and display it using customizable graphs
apply deep learning method for dynamic risk prediction
Assist in organizing your piles of documents, resulting from scanners, e-mails and other sources with miminal effort.
Simple docker deployment of document layout analysis using detectron2
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs
DATE: Dual Attentive Tree-aware Embedding for Customs Frauds Detection
Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at
An Exciting Deep Learning-based Flask web app that predicts the Facial Expressions of users and also does Graphical Visualization of the Expressions.
Materials for "ETC-NLG: End-to-end Topic-conditioned Natural Language Generation" at NL4AI 2020
Repository for the paper "Every Byte Matters: Traffic Analysis of Bluetooth Wearable Devices"
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.