qiezaiqaq's Stars
Cibiv/IQ-TREE
Efficient phylogenomic software by maximum likelihood
pomo-dev/PoMo
Implementation of a polymorphism aware phylogenetic model using HYPHY
GitDzreal93/awesome-tester
测试开发各种资源汇总
kareem-metwaly/glidenet
This repository contains the implementation and the building blocks of GlideNet and Informed Convolution. This work is published at CVPR 2022 paper titled "GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction"
zhangzhaodi233/ABSCERT
anuraganands/Non-image-data-classification-with-CNN
Non-image data classification with CNN: 3 algorithms
sbcblab/RelAgg
Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data
Kyanji/MAGNETO
PacktPublishing/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
chinhsuanwu/coatnet-pytorch
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"
google-research/big_vision
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
MoRan1607/BigDataGuide
大数据学习,从零开始学习大数据,包含大数据学习各阶段学习视频、面试资料
matsutakk/HACNet
oeg-upm/TINTO
TINTO: Software to convert Tidy Data into Image for Classification with 2-Dimensional Convolutional Neural Networks
ztpub/Vec2image
imfaisalmalik/csv2Image
Code Snippet used to convert CSV dataset into Images in IEEE Published Article: IoT DoS and DDoS Attack Detection using ResNet
alok-ai-lab/pyDeepInsight
A python implementation of the DeepInsight methodology.
alok-ai-lab/DeepInsight
A methodology to transform a non-image data to an image for convolution neural network architecture
nicomignoni/tab2img
A tool to convert tabular data into images, in order to be used by CNNs Inspired by the "DeepInsight" paper.
zhuyitan/IGTD
Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
gpleiss/efficient_densenet_pytorch
A memory-efficient implementation of DenseNets
EmjayAhn/SuperTML-pytorch
A pytorch implementation of "SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data"
sera616/FFMSRes-MutP
WhatAShot/DANet
DANets (a family of neural networks) for tabular data classification/ regression.
Montherapy/Deep-reinforcement-learning-for-multi-class-imbalanced-classification
Implementation of "Deep reinforcement learning for imbalanced classification" and its extended version to multi-class
yandex-research/rtdl
Research on Tabular Deep Learning: Papers & Packages
idearibosome/embracenet
Robust multimodal integration method implemented in PyTorch and TensorFlow
laurahdezlorenzo/graph_genetics
Phenotype prediction through genotype by means of GNNs
Chang-Li2019/MetaRNN