The source code and data for my paper titled Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching (to appear). The ReduplicatingTheStudy directory provides details of how to produce the results of this paper.
Constructing Neural Network-Based Models for Simulating Dynamical Systems Note this repo is work in progress prior to reviewing This is a companion re
custom-cnn-fashion-mnist Creating a custom CNN hypertunned architeture for the Fashion MNIST dataset with Python, Keras and Tensorflow. The following
Pretrain-Recsys This is our Tensorflow implementation for our WSDM 2021 paper: Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen. Pre-Training
PEPit: Performance Estimation in Python This open source Python library provides a generic way to use PEP framework in Python. Performance estimation
Vis'Yerres SGDF - Modules Woob Vous avez le sentiment que l'intranet des Scouts
Understanding the Effects of Datasets Characteristics on Offline Reinforcement Learning Kajetan Schweighofer1, Markus Hofmarcher1, Marius-Constantin D
Noisy Natural Gradient as Variational Inference PyTorch implementation of Noisy Natural Gradient as Variational Inference. Requirements Python 3 Pytor
freeproxy 免费获取http代理并生成proxifier配置文件 公众号：台下言书 工具说明：https://mp.weixin.qq.com/s?__biz=MzIyNDkwNjQ5Ng==&mid=2247484425&idx=1&sn=56ccbe130822aa35038095317
Project Champollion About this project Rosetta 2 is an emulation mechanism to run the x86_64 applications on Arm-based Apple Silicon with Ahead-Of-Tim
page_type languages products description sample python azure azure-machine-learning-service azure-devops Code which demonstrates how to set up and ope
Grouped SSD (GSSD) for liver lesion detection from multi-phase CT Note: the MICCAI 2018 paper only covers the multi-phase lesion detection part of thi
Fellowship Prediction GitHub Profile Comparative Analysis Tool Built with BentoML Table of Contents: Features Disclaimer Technologies Used Contributin
NeurIPS 2021 (Spotlight): Task-Adaptive Neural Network Search with Meta-Contrastive Learning This is an official PyTorch implementation of Task-Adapti
LearningPython Hi guys, here I am trying to include as many practice examples of Python Language, as i Myself learn, and hope these will help you in t
hey-daug A light weight data augmentation tool for training CNNs and Viola Jones detectors (Haar Cascades). This tool inflates your data by up to six
SegSwap Pytorch implementation of paper "Learning Co-segmentation by Segment Swapping for Retrieval and Discovery" [PDF] [Project page] If our project
FQ-ViT [arXiv] This repo contains the official implementation of "FQ-ViT: Fully Quantized Vision Transformer without Retraining". Table of Contents In
undirected-generation-dev This repo contains the source code of the models described in the following paper "Learning and Analyzing Generation Order f
TF Watcher TF Watcher is a simple to use Python package and web app which allows you to monitor 👀 your Machine Learning training or testing process o
StyleGanJittor (Tsinghua university computer graphics course) Overview Jittor 64
21 Nov 25, 2022
1 Mar 05, 2022
30 Nov 14, 2022
53 Nov 16, 2022
3 Dec 24, 2022
17 Dec 28, 2022
119 Dec 02, 2022
32 Mar 25, 2022
258 Jan 07, 2023
1 Nov 01, 2021
36 Oct 12, 2022
51 Dec 29, 2022
15 Nov 21, 2022
4 Feb 03, 2022
2 Nov 23, 2019
41 Dec 10, 2022
132 Jan 08, 2023
0 Mar 25, 2022
54 Nov 01, 2022
3 Jan 20, 2022