Unofficial PyTorch implementation of Neural Additive Models (NAM) by Agarwal, et al. [abs, pdf]
You can access nam-pytorch via pip:
$ pip install nam-pytorch
import torch
from nam_pytorch import NAM
nam = NAM(
num_features=784,
link_func="sigmoid"
)
images = torch.rand(32, 784)
pred = nam(images) # [32, 1]
As always, if there are any issues with / suggestions for the code, feel free to raise an issue or submit a PR.
quantum_computing this repo contains everything i learn about quantum computing and algorithm on quantum computing what is aquantum computing quantum
Noisy Natural Gradient as Variational Inference PyTorch implementation of Noisy Natural Gradient as Variational Inference. Requirements Python 3 Pytor
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron,
VLGrammar: Grounded Grammar Induction of Vision and Language
Codabench (formerly Codalab Competitions v2) Installation $ cp .env_sample .env $ docker-compose up -d $ docker-compose exec django ./manage.py migrat
GDN A tensorflow=1.13 implementation of Deconvolutional Networks on Graph Data (NeurIPS 2021) Abstract In this paper, we consider an inverse problem i
Face Recognition Detect facial landmarks from Python using the world's most accurate face alignment network, capable of detecting points in both 2D an
Evaluating deep transfer learning for whole-brain cognitive decoding This README file contains the following sections: Project description Repository
MathOptInterface Documentation Build Status Social An abstraction layer for mathematical optimization solvers. Replaces MathProgBase. Citing MathOptIn
Implicit Feature Refinement for Instance Segmentation This repository is an official implementation of the ACM Multimedia 2021 paper Implicit Feature
Official PyTorch Implementation of Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition, ICCV 2021
IllustrationGAN A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations. Generated Images
Causal Influence Detection for Improving Efficiency in Reinforcement Learning This repository contains the code release for the paper "Causal Influenc
CorrNet This project provides the code and results for 'Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation'
Neural RGB-D Surface Reconstruction Paper | Project Page | Video Neural RGB-D Surface Reconstruction Dejan Azinović, Ricardo Martin-Brualla, Dan B Gol
Extreme Rotation Estimation using Dense Correlation Volumes This repository contains a PyTorch implementation of the paper: Extreme Rotation Estimatio
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Created by Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacc
This repository contains a toolkit for collecting, labeling and tracking object keypoints. Object keypoints are semantic points in an object's coordinate frame.
LPTN Paper | Supplementary Material | Poster High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network Ji
EPCDepth EPCDepth is a self-supervised monocular depth estimation model, whose supervision is coming from the other image in a stereo pair. Details ar
8 Dec 25, 2022
119 Dec 02, 2022
65 Dec 14, 2022
27 Dec 23, 2022
21 Dec 02, 2022
4 Sep 13, 2022
6k Dec 31, 2022
5 Oct 31, 2022
284 Jan 04, 2023
17 Dec 28, 2022
26 Dec 07, 2022
268 Nov 27, 2022
21 Nov 29, 2022
13 Nov 03, 2022
406 Jan 04, 2023
29 Nov 18, 2022
332 Dec 29, 2022
13 Dec 12, 2022
372 Dec 26, 2022
110 Dec 23, 2022