benhuh's repositories

Glom

Forked from Agglomerator

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nn2pp

Utilities to train two-layer neural networks

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norse

A library to do deep learning with spiking neural networks.

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ViT-VQGAN

An unofficial implementation of both ViT-VQGAN and RQ-VAE in Pytorch

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ARC

The Abstraction and Reasoning Corpus

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bias_free_denoising

Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks

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bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

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bispectral-networks

Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023

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brain-tokyo-workshop

🧠🗼

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Deep_Attentive_VI

Author's implementation of the paper: "Deep Attentive Variational Inference", ICLR 2022.

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DPR

Code for Deep Single-image Portrait Image Relighting

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Efficient-VDVAE

Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

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hfopt-matlab

Modified version of hfopt-matlab by David Sussillo.

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Open-L2O

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

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phaseharmonics

Wavelet phase harmonic scattering transform

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pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

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pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

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pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

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pytorch-PPUU

Code for Prediction and Planning Under Uncertainty (PPUU)

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recurrent-interface-network-pytorch

Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch

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score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

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SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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sNGD-KFAC

Pytorch implementation of KFAC and E-KFAC (Natural Gradient).

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vdvae

Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"

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