Popular GitHub Repositories for After 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.

NLP, before and after spaCy

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.

Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch

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"

LLaMA 3 is one of the most promising open-source model after Mistral, we will recreate it's architecture in a simpler manner.

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

This is official repository of our paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification". Codes include a two stage model to achieve drone detection and classification using some FFT/STFT analytical method. The Raw data will be free to use after our paper is accept. Star us!!!!, if you think this is useful♥

BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.

Submod for MAS with AI based features

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

Evolving Artificial Neural Networks for Cross-Adaptive Audio Effects

We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image.