Popular GitHub Repositories for Diffiomorphic 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

Dynamic Neural Networks and Function Transformations in Python + Mojo

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

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

Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.

BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.

Code for the paper "GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos" published at CVPR 2024

CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuously-defined, velocity fields in Numpy, Tensorflow and Pytorch

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

Transform AI image generation from random exploration into deliberate artistic navigation. This advanced KSampler replacement blends traditional noise with shader noise. Navigate latent space with intention using adjustable noise parameters, shape masks, and colors transformations.