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SREEHAS's Projects

colossalai icon colossalai

Making big AI models cheaper, easier, and more scalable

complex-yolov4-pytorch icon complex-yolov4-pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

contextualized-topic-models icon contextualized-topic-models

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.

dark-patterns icon dark-patterns

Code and data belonging to our CSCW 2019 paper: "Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites".

deep-ttf icon deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

deepdetect icon deepdetect

Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

deepsurv icon deepsurv

DeepSurv is a deep learning approach to survival analysis.

derplog icon derplog

Implementation of the DeepLog anomaly detection system

djangographs icon djangographs

Simple django application to collect time series data and display it using customizable graphs

docspell icon docspell

Assist in organizing your piles of documents, resulting from scanners, e-mails and other sources with miminal effort.

drugchat icon drugchat

DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs

dynamic-deephit icon dynamic-deephit

Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data

ecg-mit-bih icon ecg-mit-bih

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

emotion-investigator icon emotion-investigator

An Exciting Deep Learning-based Flask web app that predicts the Facial Expressions of users and also does Graphical Visualization of the Expressions.

etc-nlg icon etc-nlg

Materials for "ETC-NLG: End-to-end Topic-conditioned Natural Language Generation" at NL4AI 2020

every_byte_matters icon every_byte_matters

Repository for the paper "Every Byte Matters: Traffic Analysis of Bluetooth Wearable Devices"

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