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Name: Abhishek Kumar Singh
Type: User
Name: Abhishek Kumar Singh
Type: User
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Automated trading on Robinhood via RNN
An Exploration into Graph Databases
stock,股票系统。使用python进行开发。
利用网络上公开的数据构建一个小型的证券知识图谱/知识库
We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
UCI chess engine
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.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, bitcoins and options).
Crowd-sourced stock analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
A repository for my practice to crack the interviews of SRI-N
A javascript technical indicators written in typescript with pattern recognition right in the browser
Code for paper "Temporal Relational Ranking for Stock Prediction"
A stock trading bot powered by Trump tweets
Highly customizable library for procedural world generation based on real map data
An integrated environment to support collaborative ontology / vocabulary development in distributed settings
weedNet: Dense semantic weed classification using multispectral images and MAV for smart farming
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.