cnn_lstm_ctc_ocr
weinman
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
모델 학습, 평가, 추론 프레임워크를 찾고 커뮤니티의 관심도를 비교하세요.
weinman
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
WeiyePlayer
weiyithu
weld-project
High-performance runtime for data analytics applications
wellflat
computer vision, image processing and machine learning on the web browser or node.
Collection of popular and reproducible image denoising works.
wendashi
wenet-e2e
wenet-e2e
Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
A comprehensive and up-to-date compilation of datasets, tools, methods, review papers, and competitions for remote sensing change detection.
WenjieDu
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
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
WenjieDu
a Python toolbox loads 173 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, and etc.
WenmuZhou
WenmuZhou
基于Pytorch的OCR工具库,支持常用的文字检测和识别算法
wentaoyuan
Code for PCN: Point Completion Network in 3DV'18 (Oral)
wenxinxu
wepe
Basic Machine Learning and Deep Learning
Western-OC2-Lab
Western-OC2-Lab
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)