Popular GitHub Repositories for Nmf Transformations

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

TransmogrifAI (pronounced tr?ns-m?g?r?-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

DeepFuze is a state-of-the-art deep learning tool that seamlessly integrates with ComfyUI to revolutionize facial transformations, lipsyncing, Face Swapping, Lipsync Translation, video generation, and voice cloning.

AI-powered desktop app for stunning image transformations

Real-time GCC-NMF Blind Speech Separation and Enhancement

Dynamic Neural Networks and Function Transformations in Python + Mojo

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

Pitch-shift audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.

PyTorch Implementation of Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis

Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.

Perform transformations on your data with natural language using LLMs

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural network models (and their initializations) to make them easier to train.

A Python package for geometric transformations of images for data augmentation in deep learning

A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).