Beast code in Giters

Ben Poole's starred repositories

stable-dreamfusion

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

Language:PythonApache-2.0790000

NVAE

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

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MLcites

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.

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jax

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

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disentanglement_lib

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

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GAN_stability

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

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pub2018superspike

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

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AdamW-and-SGDW

Decoupled Weight Decay Regularization (ICLR 2019)

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disentangled_vae

Replicating "Understanding disentangling in β-VAE"

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Detectron

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

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IDNNs

explore DNNs via Infomration

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tf-vqvae

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

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tensorflow-forward-ad

Forward-mode Automatic Differentiation for TensorFlow

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ssbm

A curated list of spiking network supervised learning benchmarks

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dsprites-dataset

Dataset to assess the disentanglement properties of unsupervised learning methods

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cegan_iclr2017

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

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zhusuan

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

Language:PythonMIT219600

improved_wgan_training

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

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jupyter-themes

Custom Jupyter Notebook Themes

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readme2tex

Renders TeXy Math for Github Readmes

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DeepLearningImplementations

Implementation of recent Deep Learning papers

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tutorials

PyTorch tutorials.

Language:Jupyter NotebookBSD-3-Clause790100

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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minpy

NumPy interface with mixed backend execution

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neural-enhance

Super Resolution for images using deep learning.

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keras-js

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

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neural-style-tf

TensorFlow (Python API) implementation of Neural Style

Language:PythonGPL-3.0310600

WaveFunctionCollapse

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

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Adversarial_Video_Generation

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

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HyperGAN

Composable GAN framework with api and user interface

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