PyTorch
A reimplementation of DCGAN in PyTorch. Although there is an abundant source of code and examples found online (as well as an official PyTorch tutorial, the codebase does not really fit my style, as well they lack the flexibility for adding intermediate layers/blocks, generating interpolation loops, visualizing intermediate representations, you name it.
DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders Mangal Prakash1, Alexander Krull1,2, Florian Jug2 1Authors contribut
auto_ml Automated machine learning for production and analytics Installation pip install auto_ml Getting started from auto_ml import Predictor from au
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets Introduction This repo contains the source code accompanying the paper: Well-tuned Sim
FastAnnotation Table of contents General info Requirements Setup General info This is a simple framework to make object detection dataset very quickly
smc.covid smc.covid is an R package related to the paper A sequential Monte Carlo approach to estimate a time varying reproduction number in infectiou
AITom Introduction AITom is an open-source platform for AI driven cellular electron cryo-tomography analysis. AITom is originated from the tomominer l
Programming with Neural Surrogates of Programs
(Subspace Constrained) Mean Shift Algorithms in Euclidean and/or Directional Product Spaces This repository contains Python3 code for the mean shift a
DIT - DTLS Interception Tool DIT is a MitM proxy tool to intercept DTLS traffic. It can intercept, manipulate and/or suppress DTLS datagrams between t
ObsPy is an open-source project dedicated to provide a Python framework for processing seismological data. It provides parsers for common file formats
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
Paddle-Anti-UAV Anti-UAV base on PaddleDetection Background UAVs are very popular and we can see them in many public spaces, such as parks and playgro
NOTE: sktime-dl is currently being updated to work correctly with sktime 0.6, and wwill be fully relaunched over the summer. The plan is Refactor and
Self-Attention Context Network for Hyperspectral Image Classification PyTorch implementation of our method for adversarial attacks and defenses in hyp
UV-matrix-decompostion-with-kfold UV matrix decompostion using movielens dataset upload the 'ratings.dat' file install the following python libraries
Neural 3D Mesh Renderer (CVPR 2018) This repo contains a PyTorch implementation of the paper Neural 3D Mesh Renderer by Hiroharu Kato, Yoshitaka Ushik
RE_improved_baseline Code for technical report "An Improved Baseline for Sentence-level Relation Extraction". Requirements torch = 1.8.1 transformers
Large-Scale Long-Tailed Recognition in an Open World [Project] [Paper] [Blog] Overview Open Long-Tailed Recognition (OLTR) is the author's re-implemen
Paddle-Skeleton-Action-Recognition DecoupleGCN-DropGraph, ASGCN, AGCN, STGCN. Yo
3DIAS_Pytorch This repository contains the official code to reproduce the results from the paper: 3DIAS: 3D Shape Reconstruction with Implicit Algebra
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