belkhir-nacim Goto Github PK

ac_pysmac

alae

[CVPR2020] Adversarial Latent Autoencoders

anomaly_localization_vae_gcams

autoclint

A specially designed light version of Fast AutoAugment

autodl-projects

Automated deep learning algorithms implemented in PyTorch or Tensorflow.

bold-water-2gzrrp

Created with CodeSandbox

cmu-comp-or

A series of tutorials for conducting computational experiments with optimization solvers

compositional-visual-generation-with-composable-diffusion-models-pytorch

Compositional Generation using Diffusion Models PyTorch (ECCV 2022)

constrained-hamiltonian-neural-networks

continuousbbo

copt

A Python library for mathematical optimization

d2l-en

Dive into Deep Learning: an interactive deep learning book on Jupyter notebooks, using the NumPy interface.

diffusionbee-stable-diffusion-ui

Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.

efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

evograd

experiment-framework

A framework designed to organize experiments

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

fast-autoaugment-segmentation

A fast autoaugment variation sor semantic segmentation

fast-autoaugment_seg

Fast AutoAugment, similar to official release but easier to run

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

flacco

Feature-Based Landscape Analysis of Continuous and Constraint Optimization Problems

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

generative_model_toolbox

set of tools fro training a vqvae model and a pixelcnn model for generating high quality images

genpic

Generate arty SVG Images using Python and Jupyter notebooks

geomstats

Computations and statistics on manifolds with geometric structures.

greybrickbuildings

Grey-brick buildings, an open source data set of 225 calibrated Dutch residential building heat models, comprising identified models and their respective forward selection paths, estimated RC parameters, building thermal properties, i.e., heat transfer coefficient, as well as reported building meta-data.

hgcn

Hyperbolic Graph Convolutional Networks in PyTorch.

hogrc

Higher-order Granger reservoir computing

hyphc

Hyperbolic Hierarchical Clustering.

image-inpainting

Image Inpainting for Irregular Holes Using Partial Convolutions