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Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
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.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
disentanglement_lib is an open-source library for research on learning disentangled representations.
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
Decoupled Weight Decay Regularization (ICLR 2019)
Replicating "Understanding disentangling in β-VAE"
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Forward-mode Automatic Differentiation for TensorFlow
A curated list of spiking network supervised learning benchmarks
Dataset to assess the disentanglement properties of unsupervised learning methods
Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Renders TeXy Math for Github Readme - No longer needed with official MathTex support on GH
Implementation of recent Deep Learning papers
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Super Resolution for images using deep learning.
Run Keras models in the browser, with GPU support using WebGL
TensorFlow (Python API) implementation of Neural Style
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Composable GAN framework with api and user interface