Popular GitHub Repositories for Cognitive Modelling

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

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

Reliable LLM Memory for AI Applications and AI Agents

Simple and Distributed Machine Learning

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Fast, flexible and easy to use probabilistic modelling in Python.

Top2Vec learns jointly embedded topic, document and word vectors.

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

A standard framework for modelling Deep Learning Models for tabular data

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

"Deep Generative Modeling": Introductory Examples

List of language agents based on paper "Cognitive Architectures for Language Agents"

Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.

Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions

Agent-based modeling framework in Julia

R usage tips for data cleaning, data visualisation, statistical modelling and machine learning

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.