Popular GitHub Repositories for Noise Modelling

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Recurrent neural network for audio noise reduction

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Fast, flexible and easy to use probabilistic modelling in Python.

Noise supression using deep filtering

Top2Vec learns jointly embedded topic, document and word vectors.

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

QualityScaler - image/video AI upscaler app

Collection of popular and reproducible image denoising works.

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

? A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).

A standard framework for modelling Deep Learning Models for tabular data

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

"Deep Generative Modeling": Introductory Examples

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Agent-based modeling framework in Julia

CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.

R usage tips for data cleaning, data visualisation, statistical modelling and machine learning

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.