EmilienDupont's Stars
airbnb/javascript
JavaScript Style Guide
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
NVlabs/ffhq-dataset
Flickr-Faces-HQ Dataset (FFHQ)
lucidrains/stylegan2-pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
sovrasov/flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
tensorflow/graphics
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
rosinality/stylegan2-pytorch
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
waleedka/hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
facebookresearch/pytorch_GAN_zoo
A mix of GAN implementations including progressive growing
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
kakaobrain/nerf-factory
An awesome PyTorch NeRF library
rosinality/style-based-gan-pytorch
Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch
toshas/torch-fidelity
High-fidelity performance metrics for generative models in PyTorch
K3D-tools/K3D-jupyter
K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.
google-deepmind/funsearch
rtqichen/ffjord
code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
patrickwalls/mathematicalpython
Introduction to Mathematical Computing with Python and Jupyter
jhjacobsen/invertible-resnet
Official Code for Invertible Residual Networks
Justin-Tan/high-fidelity-generative-compression
Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression
y0ast/Glow-PyTorch
Simple, extendable, easy to understand Glow implementation in PyTorch
google-deepmind/functa
nperraud/download-celebA-HQ
Python script to download the celebA-HQ dataset from google drive
senya-ashukha/real-nvp-pytorch
Real NVP PyTorch a Minimal Working Example | Normalizing Flow
emilemathieu/pvae
code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
apple/ml-equivariant-neural-rendering
Orange-OpenSource/Cool-Chic
Low-complexity neural image & video codec.
boschresearch/multiplicative-filter-networks
Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
anthonycaterini/hvae-nips
Code for the Hamiltonian Variational Auto-Encoder from the proceedings of NeurIPS 2018
Schlumberger/pixel-constrained-cnn-tf
TensorFlow implementation of Pixel Constrained CNN, a framework for probabilistic semantic inpainting :art: