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Name: Lesego Matojane
Type: User
Bio: Data Science, Machine learning
Name: Lesego Matojane
Type: User
Bio: Data Science, Machine learning
Author attribution analysis using n-gram convolutional neural networks and support vector machines.
An authorship attribution system based on a machine learning model using syntactic linguistic information as a feature set.
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Building & Deploying Computer Vision Models
Source code for the blog post on the evolution of the asset allocation methods
Python programs for constructing various economic datasets
Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an optimized diversified intelligent portfolio.
A program for financial portfolio management, analysis and optimisation.
FinRL: Financial Reinforcement Learning. 🔥
Config files for my GitHub profile.
A Jekyll version of the Clean Blog theme by Start Bootstrap
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
Collection of various Machine learning projects
Multi-transformer portfolio optimization
Streamlit deployment for MIT 808
Multi-transformer portfolio optimization
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
Portfolio Optimization with genetic algorithms
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.
A web interface for real-time yolo inference using streamlit. It supports CPU and GPU inference, supports both images and videos and uploading your own custom models.
A Steamlit template for YOLOv5
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.