Popular GitHub Repositories for Effects

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.

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.

AudioLDM: Generate speech, sound effects, music and beyond, with text.

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

Real-time voice-changer for voice-chat, etc. Will support many different voice-filters and features in the future. ?

AI Audio Datasets (AI-ADS) ?, including Speech, Music, and Sound Effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications.

Download Voicemod Pro - Real-Time Voice Changer & Soundboard with AI Effects for Streaming, Gaming, and Content Creation in 2025

A collection of Post Processing Nodes for ComfyUI, which enable a variety of cool image effects

Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"

[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738

[AAAI 2019] TET-GAN: Text Effects Transfer via Stylization and Destylization

Evolving Artificial Neural Networks for Cross-Adaptive Audio Effects

Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.

Exploring the potential of fine-tuning Large Language Models (LLMs) like Llama2 and StableLM for medical entity extraction. This project focuses on adapting these models using PEFT, Adapter V2, and LoRA techniques to efficiently and accurately extract drug names and adverse side-effects from pharmaceutical texts

A General Causal Inference Framework by Encoding Generative Modeling

Machine learning based causal inference/uplift in Python

Causing: CAUsal INterpretation using Graphs

Fit hidden Markov models using Template Model Builder (TMB): flexible state-dependent distributions, transition probability structures, random effects, and smoothing splines.

Lightweight 3kB Effect-TS alternative library based on Algebraic Effects