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Showing results

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

Python 8,852 767 Updated Dec 10, 2023

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

Python 1,093 174 Updated Dec 6, 2022

This repository contains citation data for papers published in NeurIPS in 2014 - 2018, and ICML 2017, 2018. It also contains the code to collect this data.

Jupyter Notebook 23 7 Updated Apr 11, 2019

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

Python 36,139 3,734 Updated Aug 12, 2026

disentanglement_lib is an open-source library for research on learning disentangled representations.

Python 1,431 202 Updated May 16, 2021

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

Jupyter Notebook 921 114 Updated Aug 27, 2019

Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.

C++ 59 12 Updated Jul 16, 2018

Decoupled Weight Decay Regularization (ICLR 2019)

Lua 301 26 Updated Jan 9, 2019

Replicating "Understanding disentangling in β-VAE"

Python 197 38 Updated Jun 2, 2018

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Python 26,369 5,382 Updated Nov 20, 2023

explore DNNs via Infomration

Python 267 91 Updated Mar 10, 2020

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Jupyter Notebook 261 41 Updated Apr 5, 2018

Forward-mode Automatic Differentiation for TensorFlow

Python 139 18 Updated Mar 12, 2018

A curated list of spiking network supervised learning benchmarks

Python 7 1 Updated May 31, 2018

Dataset to assess the disentanglement properties of unsupervised learning methods

Jupyter Notebook 540 69 Updated Jan 3, 2021

Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"

Python 24 5 Updated Oct 31, 2017

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Python 2,218 413 Updated Dec 17, 2022

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Python 2,411 661 Updated Jun 6, 2018

Custom Jupyter Notebook Themes

CSS 9,820 1,026 Updated Jun 22, 2025

Renders TeXy Math for Github Readme - No longer needed with official MathTex support on GH

Python 910 190 Updated Aug 21, 2021

Implementation of recent Deep Learning papers

Python 1,811 638 Updated Oct 23, 2020

PyTorch tutorials.

Python 9,278 4,432 Updated Jul 31, 2026

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Python 102,329 28,839 Updated Aug 12, 2026

NumPy interface with mixed backend execution

Python 1,094 104 Updated Feb 19, 2018

Super Resolution for images using deep learning.

Python 11,869 1,358 Updated Dec 29, 2020

Run Keras models in the browser, with GPU support using WebGL

JavaScript 4,964 492 Updated Jun 15, 2022

TensorFlow (Python API) implementation of Neural Style

Python 3,105 808 Updated Dec 24, 2020

Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

C# 25,251 1,351 Updated Mar 22, 2026

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Python 748 184 Updated Oct 23, 2021

Composable GAN framework with api and user interface

Python 1,183 159 Updated Jan 21, 2023
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