Popular GitHub Repositories for Partial 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.

Learning in infinite dimension with neural operators.

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

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

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

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

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

PDEBench: An Extensive Benchmark for Scientific Machine Learning

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

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

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.

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

[ICCV 2023] You Only Look at One Partial Sequence

This is a ChatGPT based prompt generation model for MidJorney. The purpose of this model is to simplify the creation of images and increase their creativity. By introducing a partial hint, ChatGPT creates a follow-up that can be used to stimulate creativity and provide new ideas.