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Mark Peng's Projects

sgan icon sgan

SGAN: An Alternative Training of Generative Adversarial Networks

shinyjstutorials icon shinyjstutorials

tutorials materials on R/Shiny bindings to popular javascript libraries

simrlfab icon simrlfab

Simulation and reinforcement learning framework for production planning and control of complex job shop manufacturing systems

sincnet icon sincnet

SincNet is a neural architecture for efficiently processing raw audio samples.

skyline icon skyline

It'll detect your anomalies! Part of the Kale stack.

spynner icon spynner

Programmatic web browsing module with AJAX support for Python

stanford_dl_ex icon stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

stat-learning icon stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

swin-transformer icon swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

the-art-of-programming-by-july icon the-art-of-programming-by-july

Csdn 600万博客「结构之法算法之道」部分经典博文集锦:《程序员编程艺术 — 面试和算法心得》

thoth icon thoth

Thoth is a real-time solr monitor and search analysis engine. It's a set of tools that can help you collect, visualize and leverage data coming from your solr search Infrastructure

timeseriescv icon timeseriescv

Scikit-learn style cross-validation classes for time series data

transformers icon transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

vertebral icon vertebral

Demonstration of the effect of synthetic features on linear models

walmart_competition_code icon walmart_competition_code

This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle.

webcam-capture icon webcam-capture

Project goal is to give users possibility to access build-in or connected via USB webcams or remote IP / network cameras directly from Java code. Using provided libraries user is able to read camera images and detect motion. Main project consist of several sub projects - the root one, which contains required classes, build-in webcam driver compatible with Windows, Linux and Mac OS, which can stream images as fast as your camera can serve them (up to 50 FPS). Main project can be used standalone, but user is able to replace build-in driver with different one - such as OpenIMAJ, GStreamer, V4L4j, JMF, LTI-CIVIL, FMJ, etc.

xgboost icon xgboost

eXtreme Gradient Boosting (GBDT or GBRT) Library, also support distributed learning

yolor icon yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

yolov5 icon yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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