В "main.py" расположен вариант моего решения задачи 943 с сервиса "ACMP" "Змейка - 3" (https://acmp.ru/index.asp?main=task&id_task=943). Основнойной шарм данной реализации заключается в полной отсутствии циклов.
The entire professional component of this project is my intellectual component, but only at the moment of pushing.
Description GANTheftAuto is a fork of the Nvidia's GameGAN, which is research focused on emulating dynamic game environments. The early research done
HiFiSinger This code is an unofficial implementation of HiFiSinger. The algorithm is based on the following papers: Chen, J., Tan, X., Luan, J., Qin,
MlTr: Multi-label Classification with Transformer This is official implement of "MlTr: Multi-label Classification with Transformer". Abstract The task
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gapmm2: gapped alignment using minimap2 This tool is a wrapper for minimap2 to r
Robust Contrastive Learning against Noisy Views This repository provides a PyTorch implementation of the Robust InfoNCE loss proposed in paper Robust
CryptoPunks GAN Simple SN-GAN to generate CryptoPunks. Neural network architecture and training code has been modified from the PyTorch DCGAN example.
OpenDet Expanding Low-Density Latent Regions for Open-Set Object Detection (CVPR2022) Jiaming Han, Yuqiang Ren, Jian Ding, Xingjia Pan, Ke Yan, Gui-So
Local Light Field Fusion Project | Video | Paper Tensorflow implementation for novel view synthesis from sparse input images. Local Light Field Fusion
EDIT (AS OF 4th NOVEMBER 2019): This implementation has multiple errors and as of the date 4th, November 2019 is insufficient to be utilized as a reso
Louise - polynomial-time Program Learning Getting help with Louise Louise's author can be reached by email at
RerrFact This repository contains the code for: RerrFact model for SciVer shared task. Setup for Inference 1. Download SciFact database Download the S
Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not
BEAMetrics: Benchmark to Evaluate Automatic Metrics in Natural Language Generation Installing The Dependencies $ conda create --name beametrics python
SSL_OSC Graph Self-Supervised Learning for Optoelectronic Properties of Organic Semiconductors
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ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search [paper] Introduction This is the official implementation of ViPNAS: Efficient V
Learning What To Do by Simulating the Past This repository contains code that implements the Deep Reward Learning by Simulating the Past (Deep RSLP) a
Patent Classification Goal: To train a machine learning classifier that can automatically classify international patents downloaded from the WIPO webs
Fairness Metrics: All you need to know Testing machine learning software for ethical bias has become a pressing current concern. Recent research has p
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