deng-peipei's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
google-research/vision_transformer
facebookresearch/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
kuangliu/pytorch-cifar
95.47% on CIFAR10 with PyTorch
jeonsworld/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
bwiernik/zotero-shortdoi
Zotero extension to retrieve and validate DOIs and shortDOIs
Newmu/Theano-Tutorials
Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
aigamedev/scikit-neuralnetwork
Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
lukemelas/PyTorch-Pretrained-ViT
Vision Transformer (ViT) in PyTorch
FrancescoSaverioZuppichini/ViT
Implementing Vi(sion)T(transformer)
asyml/vision-transformer-pytorch
Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.
hhuangwx/cmaps
user defined colormaps in matplotlib.
dominicplouffe/HorseRacingPrediction
Using Support Vector regression algorithm to predict horse racing results
BreezePython/AlgorithmMarkdown
MBKraus/Predicting_real_estate_prices_using_scikit-learn
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
IBM/regression-transformer
Regression Transformer (2023; Nature Machine Intelligence)
tahmid0007/VisionTransformer
A complete easy to follow implementation of Google's Vision Transformer proposed in "AN IMAGE IS WORTH 16X16 WORDS". This pytorch implementation has comments for better understanding.
seadas/seadas
SeaDAS SeaWiFS Data Analysis System
likelyzhao/vit-pytorch
vit model from tensorflow
jonathansharp/CO2-System-Extd
CO2SYS software for MATLAB (or GNU Octave) to calculate marine CO2 system variables and propagate uncertainties. This software accepts traditional CO2SYS input parameters, as well as carbonate species concentrations and anoxic species.
parasdahal/tinyml
Linear Regression, Logistic Regression, and MLP Neural Networks in a tiny educational package.
lukegre/pySeaFlux
Calculation of air-sea fluxes - for now only CO2
jmjkx/MyConference
会议论文初稿
XufengXufengXufeng/Transformer_Regression_Application
This is an 'Attention is all you need' network application on non_nlp data.
hrh751/LMAFN
NAS-guided Lightweight Multiscale Attention Fusion Network for Hyperspectral Image Classification
poomstas/kaggle_petfinder
Kaggle's PetFinder Competition where we create a CNN- and transformer-based regression model that takes an image and a boolean array as inputs.
keshavbhandari/Predicting-Customer-Return
Objective: Predicting whether the customer will return or not in the next month. Techniques used: XGBoost, logistic regression, attention based LSTM neural network, self attention based transformer neural network