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ML library with emphasis on the sparse linear model.
StabNet: A neural network for video stabilization.
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
This is the pre-trained model of SphereFace : Deep Hypersphere Embedding for Face Recognition
This project is a kind of implementation of SpineNet(CVPR 2020) using mmdetection.
Sparsity Preserving Projection, a feature extraction algorithm in Pattern Recognition area
Machine learning model to predict NSE stocks for a year
CNN and Residual block & Deep_Q_learning
Attribute-Guided Sketch-to-Image Generation
This is an Android application with camera,picture cropping,collage sticking and tagging.贴纸标签相机,功能:拍照,相片裁剪,给图片贴贴纸,打标签。
A Real-Time Spatio-Temporal Vídeo Denoising Method with Kalman-based and Bilateral Filters Fusion
Stock Market Behavior Analysis and Forecasting of prices to better understand the seemingly arbitrary nature of stock movements, using Deep Learning, Natural Language Processing, and other Data modeling techniques.
This project seeks to utilize Deep Learning models, LongShort Term Memory (LSTM) Neural Network algorithm to predict stock prices. We will use Keras to build a LSTM RNN to predict stock prices using historical closing price and trading volume and visualize both the predicted price values over time and the optimal parameters for the model.
Predicting the stock market opening values using Deep learning's Model Recurrent Neural Networks which is a very powerful model.
A program to predict the stock market. ML Algorithms: Random Forest, Decision Trees ans also a CNN (TensorFlow) were implemented and their performance compared.
Predict stock prices with deep learning
Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations
Machine and Deep Learning for Stock Price Prediction: Comparison of Classification and Regression Techniques
Stock price prediction using deep learning LMST
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
rolling over
this project is developing to get stock day trade data, back test trade strategy and used deep-learning to train stock base on tensorflow
trading by Deep Q-Network
A genetic algorithm implemented to optimize the piece values in the Stockfish Chess engine.
stock predict using deep learning
Shanghai stock composit index trend predicting, using random forest and PSO.
決定木、SVM、LSTMを使った株価変動予測
High Frequency Trading Price Prediction using LSTM Recursive Neural Networks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.