Stars
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
The project to find correlation between tweets and future stock prices
Cross-Platform, GPU Accelerated Whisper 🏎️
Official inference repo for FLUX.1 models
Turkish deasciifier in Python based on Deniz Yüret's turkish-mode for Emacs
a python module to make unicode strings work as expected for turkish chars. solves the turkish "İ" problem.
An open-source RAG-based tool for chatting with your documents.
The purpose of this project is to prepare a spell checker for Azerbaijani language by implementing a Azerbaijani corpus to Norvig’s algorithm. The corpus I created consists of 1478667 words collect…
The best and simplest free open source web page change detection, website watcher, restock monitor and notification service. Restock Monitor, change detection. Designed for simplicity - Simply moni…
A multilingual text-to-speech synthesis system for ten lower-resourced Turkic languages: Azerbaijani, Bashkir, Kazakh, Kyrgyz, Sakha, Tatar, Turkish, Turkmen, Uyghur, and Uzbek.
DeOldify for Stable Diffusion WebUI:This is an extension for StableDiffusion's AUTOMATIC1111 web-ui that allows colorize of old photos and old video. It is based on deoldify.
A Deep Learning based project for colorizing and restoring old images (and video!)
PyTorch implementation of Real-ESRGAN model
FILM: Frame Interpolation for Large Motion, In ECCV 2022.
Bringing Old Photo Back to Life (CVPR 2020 oral)
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
🐁 Mouse tracking javascript library - Follow me on Twitter @mauriciogior
rensortino / ColorizeNet
Forked from lllyasviel/ControlNetLet us control diffusion models for colorization!
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models