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Type: Organization
The Stochastic Optimisation Software (SOS) is a research-oriented software platform for Metaheuristic Optimisation (Stochastic Optimisation). If you are using SOS, please acknowledge the article "Caraffini, F.; Iacca, G. The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms. Mathematics 2020, 8, 785." (https://doi.org/10.3390/math8050785)
A Statistical Parameter Optimization Tool
VIP cheatsheets for Stanford's CS 229 Machine Learning
Smart, automatic detection and stationarization of non-stationary time series data.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Swarm intelligence optimizer
Library of swarm optimization algorithms.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Experiments on Tabular Data Models
BiLSTM-CNN-CRF tagger
An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
Basic reinforcement learning implementation with tensorflow version 2.0
Official repository with Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification" (ECCV 2020)
The Ultimate Flask Course, published by Packt
An elegant, flexible, and superfast PyTorch deep reinforcement learning platform.
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
A use-case focused tutorial for time series forecasting with python
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
π§ A web app to generate template code for machine learning
Everything about Transfer Learning and Domain Adaptation--θΏη§»ε¦δΉ
Trax β Deep Learning with Clear Code and Speed
TensorFlow Reinforcement Learning
Tutorials for the usage of the Uni.lu HPC platform
My notebook for Udacity Deep Learning Course
Your new Mentor for Data Science E-Learning.
Datasets, Transforms and Models specific to Computer Vision
A Vietnamese Text Processing Toolkit
VietNam Data Stock Market Price
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.