frontend-park
wangrongding
Train, evaluate, and run machine learning models.
wangrongding
wangxb96
WangYuLin-SEU
WarBean
warmspringwinds
Image Segmentation and Object Detection in Pytorch
warmspringwinds
Image Segmentation framework based on Tensorflow and TF-Slim library
warpfront
wavefrontshaping
A high-level toolbox for using complex valued neural networks in PyTorch
wayveai
PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"
wcipriano
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
WeBankFinTech
Prophecis is a one-stop cloud native machine learning platform.
WebAR-rocks
WebAssembly
Neural Network proposal for WASI
webmachinelearning
🧠 Web Neural Network API
weecology
Python Package for Airborne RGB machine learning
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
weijiaheng
A curated (most recent) list of resources for Learning with Noisy Labels
WeijingShi
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.
weinman
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
WeiyePlayer
💻 📓 Guia de estudos (iniciante) sobre Inteligência Artificial. Contém trilhas de aprendizagem, canais, cursos , livros etc.
WenjieDu
The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516
wenxinxu
Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.