Node for thenewboston digital currency network.

Last update: Jul 08, 2022

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Overview

Project setup

For project setup see INSTALL.rst

Community

Join the community to stay updated on the most recent developments, project roadmaps, and random discussions about completely unrelated topics.

Donate

All donations will go to thenewboston to help fund the team to continue to develop the community and create new content.

Coin	Address
	b6e21072b6ba2eae6f78bc3ade17f6a561fa4582d5494a5120617f2027d38797
	3GZYi3w3BXQfyb868K2phHjrS4i8LooaHh
	0x0E38e2a838F0B20872E5Ff55c82c2EE7509e6d4A

License

thenewboston is MIT licensed

Owner

thenewboston

Developers for thenewboston digital currency.

GitHub Repository https://thenewboston.com

Code for IntraQ, PyTorch implementation of our paper under review

IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization paper Requirements Python = 3.7.10 Pytorch == 1.7

1 Nov 19, 2021

Code to use Augmented Shapiro Wilks Stopping, as well as code for the paper "Statistically Signifigant Stopping of Neural Network Training"

This codebase is being actively maintained, please create and issue if you have issues using it Basics All data files are included under losses and ea

32 Nov 09, 2021

Code for the TPAMI paper: "Syntax Customized Video Captioning by Imitating Exemplar Sentences"

Syntax-Customized-Video-Captioning Code for the TPAMI paper: "Syntax Customized Video Captioning by Imitating Exemplar Sentences". This is my second w

3 Dec 05, 2022

Implementation of the GBST block from the Charformer paper, in Pytorch

Charformer - Pytorch Implementation of the GBST (gradient-based subword tokenization) module from the Charformer paper, in Pytorch. The paper proposes

105 Dec 26, 2022

Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.

WSDEC This is the official repo for our NeurIPS paper Weakly Supervised Dense Event Captioning in Videos. Description Repo directories ./: global conf

96 Nov 01, 2022

Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2

CoaDTI Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2 Abstract Environment The test was conducted i

7 Nov 14, 2022

Self-Supervised Contrastive Learning of Music Spectrograms

Self-Supervised Music Analysis Self-Supervised Contrastive Learning of Music Spectrograms Dataset Songs on the Billboard Year End Hot 100 were collect

27 Dec 10, 2022

This is the codebase for Diffusion Models Beat GANS on Image Synthesis.

3k Dec 26, 2022

PyTorch implementation for Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition.

Stochastic CSLR This is the PyTorch implementation for the ECCV 2020 paper: Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuou

28 Dec 19, 2022

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

Dynamic Routing Between Capsules - PyTorch implementation PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules from Sara Sabour,

475 Dec 24, 2022

The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

This repository is the official PyTorch implementation of SAINT. Find the paper on arxiv SAINT: Improved Neural Networks for Tabular Data via Row Atte

284 Dec 21, 2022

Node for thenewboston digital currency network.

Related tags

Overview

Project setup

Community

Donate

License

Owner

thenewboston

Code for IntraQ, PyTorch implementation of our paper under review

Code to use Augmented Shapiro Wilks Stopping, as well as code for the paper "Statistically Signifigant Stopping of Neural Network Training"

Code for the TPAMI paper: "Syntax Customized Video Captioning by Imitating Exemplar Sentences"

Implementation of the GBST block from the Charformer paper, in Pytorch

Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.

Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2

Self-Supervised Contrastive Learning of Music Spectrograms

This is the codebase for Diffusion Models Beat GANS on Image Synthesis.

PyTorch implementation for Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition.

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

TinyML Cookbook, published by Packt

Instance-conditional Knowledge Distillation for Object Detection

ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

Selfplay In MultiPlayer Environments

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

MediaPipe is a an open-source framework from Google for building multimodal

Byzantine-robust decentralized learning via self-centered clipping

This repository contains code from the paper "TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network"

Repo for "TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets" at [email protected]