Popular GitHub Repositories for Glitch Effect

Botkit is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms.

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.

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

? Images to → 3D Parallax effect video. A free and open source ImmersityAI alternative

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.

infinite zoom effect extension for AUTOMATIC1111's webui - stable diffusion

A community-driven knowledge base of practical patterns for Effect-TS.

Genomic Pre-trained Network

We research the correlations between astrology planet cycles and price effect for multiples financial markets using statistics and machine learning techniques. Join the community discussions at Telegram:

本次开源为DL-B，是一个基于ChatGLM、Wav2Lip、So-VITS组建的数字形象方案。可以在此基础之上增加其他组件达到数字生命的效果。This open source is DL-B, which is a digital image scheme based on ChatGLM, Wav2Lip and So-VITS. On this basis, other components can be added to achieve the effect of digital life.

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

Evolving Artificial Neural Networks for Cross-Adaptive Audio Effects

《Bokeh Diffusion：文本到图像扩散模型中的散焦模糊控制》的官方实现

QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.

Twitter bot that glitches photos on the fly

gradient glitch art generator

Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling

Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single blurry input image improves the network’s ability to learn to deblur the image. Our experiments show this multi-task strategy achieves +1dB PSNR improvement over state-of-the-art defocus deblurring methods. In addition, our multi-task framework allows accurate DP-view synthesis (e.g., ~ 39dB PSNR) from the single input image. These high-quality DP views can be used for other DP-based applications, such as reflection removal. As part of this effort, we have captured a new dataset of 7,059 high-quali

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

Official Pytorch implementation of ICCV 2021 2020 paper "Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision"