Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A common bricks library for building scalable and portable distributed machine learning.
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R
A toolkit for making real world machine learning and data analysis applications in C++
Sources for the ITKSoftwareGuide.
A simple, fully convolutional model for real-time instance segmentation.
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf
OptiKey - Full computer control and speech with your eyes
A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT
中文语音识别; Mandarin Automatic Speech Recognition;
LINE: Large-scale information network embedding
This repository contains the source code of our work on designing efficient CNNs for computer vision
(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
XLNet: Generalized Autoregressive Pretraining for Language Understanding
[CVPR 2018] Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks
Deep face segmentation in extremely hard conditions
gnebehay / OpenTLD
Forked from zk00006/OpenTLDA C++ implementation of OpenTLD
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型