Real-time webcam demo with SmolVLM and llama.cpp server

CNN models for Solar Panel Detection and Segmentation in Aerial Images.

A curated list of data science & AI guided projects to start building your portfolio

Use TimeGPT to predict cloud costs and detect anomalies.

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

This repo is my interest project in ESG investing and the different ways of implementing the ESG strategies

research project

[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach

An example of using Redis Streams, RedisGears, RedisAI and RedisTimeSeries for Realtime Video Analytics (i.e. counting people)

Domain Specific BERT Model for Text Mining in Sustainable Investing

Environment Anomaly Detection using standard machine learning techniques.

End-to-end machine learning project. Predicting and understanding the spread of the COVID-19 Pandemic in the USA can help forecast supply chains and save jobs and lives. The past reproduction numbe…

Person Tracking and Person Re-identification for Surveillance in Multi-Camera Systems

This Jupyter notebook examines the evolution of ESG disclosures by companies over time. It uses the universe of companies, for which Refinitiv has been collacting ESG data since 2002, and examines …

TextAugment: Text Augmentation Library

Considering the big change that the world is facing, as well as our lives due to the COVID-19, we provide to people and companies a complete open-source tool to analyze the social distancing for st…

Repository containing notebooks of my posts on Medium

UNOdeMSegNet for Medical segmentation

Saber is a deep-learning based tool for information extraction in the biomedical domain. Pull requests are welcome! Note: this is a work in progress. Many things are broken, and the codebase is not…

Optimization models for enterprise use cases

Advance warning system for flood with rainfall analysis

Code accompanying the manuscript "Time-resolved evaluation of compound repositioning predictions on a text-mined knowledge network"

Cheat Sheets

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

Python Data Science Handbook: full text in Jupyter Notebooks

Granger Causality analysis and Time-series modeling.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

TensorFlow code and pre-trained models for BERT

Python library to compute knowledge graph embeddings