Popular GitHub Repositories for Dynamic Causal Modelling

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Convert ebooks to audiobooks with chapters and metadata using dynamic AI models and voice cloning. Supports 1,107+ languages!

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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

Uplift modeling and causal inference with machine learning algorithms

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

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

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

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

Top2Vec learns jointly embedded topic, document and word vectors.

AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.

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

The machine learning toolkit for time series analysis in Python

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

NMA Computational Neuroscience course

A Python library that helps data scientists to infer causation rather than observing correlation.

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

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