3D Unet

PyTorch implementation 3D U-Net and its variants.

The code allows for training the U-Net for both: semantic segmentation (binary and multi-class) and regression problems (e.g. …

Keywords: Unet, U-net, 3D U-net, semantic segmentation, computer vision, PyTorch, de-noising, deep learning, neural networks

Adversarial Gene Expression

Implementation of a method based on a conditional generative adversarial network to generate realistic transcriptomics data for E. coli and humans. The synthetic data preserves …

Keywords: bioinformatics, E. coli, gene expression, gene regulatory network, adversarial networks, machine learning, Python, TensorFlow

Adversarial Latent Autoencoders

Reference implementation for the paper Adversarial Latent Autoencoders by S. Pidhorskyi, D. A. Adjeroh, and G. Doretto, CVPR 2020.

Keywords: ALAE, StyleALAE, adversarial latent autoencoders, computer vision, image processing, deep learning, autoencoder, unsupervised learning

Adversarial Robustness Toolbox (ART)

A general toolbox for adversarial robustness in machine learning. Adversarial Robustness Toolbox (ART) is a Python library for Machine Learning Security. ART provides tools that …

Keywords: adversarial robustness, adversarial attacks, machine learning, security, poisoning attacks, trusted AI, Python, PyTorch, TensorFlow, MXNet

AlphaCodium

AlphaCodium is a new approach to code generation by LLMs. It is a test-based, multi-stage, code-oriented iterative flow, that improves the performances of LLMs on …

Keywords: code generation, generative model, generative AI, Python

AlphaFold

The open source implementation of DeepMind's AlphaFold v2 award winning protein folding algorithm.

Keywords: protein folding, machine learning, neural networks, deep learning, CASP14, structure prediction, DeepMind, JAX, TensorFlow

AlphaGeometry

AlphaGeometry is a neuro-symbolic theorem prover for Euclidean plane geometry that sidesteps the need for human demonstrations by synthesizing millions of theorems and proofs across …

Keywords: large language model, LLM, geometry, mathematical reasoning, machine learning, Python, JAX

AnimeGAN

This is the Open source of the paper "AnimeGAN: a novel lightweight GAN for photo animation", which uses the GAN framwork to transform real-world photos …

Keywords: AnimeGAN, Tensorflow, generative adversarial networks, deep learning, computer vision, anime, photo animation

ANYCSP

The reference implementation for the ANYCSP algorithm that learns search heuristics for SAT problems using graph neural networks (GNNs).

Keywords: constraint satisfaction problem, CSP, search heuristics, graph neural networks, GNN, machine learning, Python, PyTorch

Asteroid

Asteroid is a Pytorch-based audio source separation toolkit that enables fast experimentation on common datasets. It comes with a source code that supports a large …

Keywords: Asteroid, Pytorch, audio source separation, toolkit, audio, sound processing, ConvTasnet, Tasnet, Deep clustering, DualPathRNN, Chimera++, Wavesplit