Popular GitHub Repositories for Traffic Modelling

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

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)

A Burp Suite extension that integrates OpenAI's GPT to perform an additional passive scan for discovering highly bespoke vulnerabilities and enables running traffic-based analysis of any type.

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

A selection of state-of-the-art research materials on trajectory prediction

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.

Implementation of "YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception".

"Deep Generative Modeling": Introductory Examples

Govern, Secure, and Optimize your AI Traffic. AI Gateway provides unified interface to all LLMs using OpenAI API format with a focus on performance and reliability. Built in Rust.

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

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

Agent-based modeling framework in Julia

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.

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