Stars
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records
CODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
My tools for the Slurm HPC workload manager
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
Some of my work on splitting medical text into sentences for BERT langauge modeling training.
MVA Course "Algorithms for speech and language processing", 2024, Clavel, Wisniewski, Sagot, Bawden & Seddah
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
A web browser that plays old world blues to build new world hope
Python package to handle probe layout, geometry and wiring to device.
Unofficial Bitwarden compatible server written in Rust, formerly known as bitwarden_rs
CasaOS - A simple, easy-to-use, elegant open-source Personal Cloud system.
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks
Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.
Stock Price Prediction using Machine Learning Techniques
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
The Stock Price Prediction App is a Streamlit-based web application that provides users with tools to analyze historical stock price data, visualize technical indicators, and make short-term price …
Automated 3D cell detection in very large images