Generative code template for combining transparent png attributes into 10,000 unique images.
Used for the PixelBeasts 10k NFT project.
Join our Discord here: https://discord.gg/amnvk4CZ3J
Purchase on OpenSea: https://opensea.io/collection/beastopia-pixelbeasts
DGC-Net: Dense Geometric Correspondence Network This is a PyTorch implementation of our work "DGC-Net: Dense Geometric Correspondence Network" TL;DR A
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval Pytorch implementation of SPQ Accepted to ICCV 2021 - paper Young Kyun Jang
MarcoPolo is a method to discover differentially expressed genes in single-cell RNA-seq data without depending on prior clustering Overview MarcoPolo
Introduction This is a simple program is written in python and turtle library. The objective of this program is to wish merry Christmas programmatical
Moving Objects Segmentation On this project I tried to perform moving objects segmentation using background subtraction technique. the introduced meth
Data-Augmentation-Using-Keras-and-Python Data augmentation is the process of increasing the number of training dataset. Keras library offers a simple
Learning to Generate Grounded Visual Captions without Localization Supervision This is the PyTorch implementation of our paper: Learning to Generate G
Prior-Enhanced network with Meta-Prototypes (PEMP) This is the PyTorch implementation of PEMP. Overview of PEMP Meta-Prototypes & Adaptive Prototypes
BEAMetrics: Benchmark to Evaluate Automatic Metrics in Natural Language Generation Installing The Dependencies $ conda create --name beametrics python
Speech Super-resolution Evaluation and Benchmarking What this repo do: A toolbox for the evaluation of speech super-resolution algorithms. Unify the e
FAIMED 3D use fastai to quickly train fully three-dimensional models on radiological data Classification from faimed3d.all import * Load data in vari
Contrastive Learning for Cold-start Recommendation This is our Pytorch implementation for the paper: Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan L
VAE with Volume-Preserving Flows This is a PyTorch implementation of two volume-preserving flows as described in the following papers: Tomczak, J. M.,
Marine debris detection with commercial satellite imagery and deep learning. Floating marine debris is a global pollution problem which threatens mari
Summit Summit is a set of tools for optimising chemical processes. We’ve started by targeting reactions. What is Summit? Currently, reaction optimisat
IMF: Inferred Model-based Fuzzer IMF is a kernel API fuzzer that leverages an automated API model inferrence techinque proposed in our paper at CCS. I
OntoProtein This is the implement of the paper "OntoProtein: Protein Pretraining With Ontology Embedding". OntoProtein is an effective method that mak
JRemesh Tools Blender 2.8 - 3.x addon for quad remeshing. Currently it is a wrap
Spiking Neural Network for Computer Vision using SpikingJelly framework and Pytorch-Lightning
LDNet Author: Wen-Chin Huang (Nagoya University) Email:
191 Dec 16, 2022
71 Dec 27, 2022
13 Dec 18, 2022
1 Dec 25, 2021
15 Dec 12, 2022
3 Feb 15, 2022
41 Nov 17, 2022
8 Oct 14, 2021
7 Jul 04, 2022
84 Dec 20, 2022
26 Aug 22, 2022
45 Dec 13, 2022
87 Dec 26, 2022
56 Dec 16, 2022
75 Dec 14, 2022
104 Sep 28, 2022
80 Dec 14, 2022
89 Dec 30, 2022
2 Oct 20, 2022