TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Qualitative data analysis for text, images, audio, video. Cross platform. Python 3.10 or newer and PyQt6.

List the AI for Science papers accepted by top conferences

Top2Vec learns jointly embedded topic, document and word vectors.

MDS Helper Functions

TopicGPT: A Prompt-Based Framework for Topic Modeling (NAACL'24)

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

TopicGPT allows to integrate the benefits of LLMs into Topic Modelling

Calculates expected information gain using BRMS models and nested Monte Carlo estimation.

Plain text project planning in Obsidian

Automated Research Assistant

Install and load the BenchmarksWM data package

Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-based symbolic regression.

A library for generative social simulation

A PyTorch implementation of "Variational Item Response Theory: Fast Accurate, and Expressive"

Open source project to tackle the problem of long development cycles required to produce software to conduct multi-participant and real-time human experiments online.

Combination of transformers and diffusion models for flexible all-in-one simulation-based inference

Official repository of the xLSTM.

Repo for the paper "A tutorial on open-source large language models for behavioral science"

Croissant is a high-level format for machine learning datasets that brings together four rich layers.

A list of papers for physiological signal classification using machine learning/deep learning.

Corpus of resources for multimodal machine learning with physiological signals (mmps).

Role of physiological signals in multimodal emotion recognition solutions in autonomous driving

A curated list of awesome sensor fusion resources

A curated list of resources on document similarity measures (papers, tutorials, code, ...)