Abhishek Kumar Singh's repositories
deep-voice-conversion
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
stock-knowledge-graph
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
utymap
Highly customizable library for procedural world generation based on real map data
crypto-predict
A dockerized prediction API for crypto.
trump2cash
A stock trading bot powered by Trump tweets
datacamp-community-tutorials
Tutorials for DataCamp (www.datacamp.com)
crop_yield_prediction
Crop Yield Prediction with Deep Learning
debot_api
A Python API for DeBot
graph-generation
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
rnn-robinhood
Automated trading on Robinhood via RNN
weedNet
weedNet: Dense semantic weed classification using multispectral images and MAV for smart farming
awesome-sentiment-analysis
Repository with all what is necessary for sentiment analysis and related areas
Market-Trend-Prediction
This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).
Knowledge-Graph-Analysis-Programming-Exercises
Exercises for the Analysis of Knowledge Graphs
Stock-Market-Prediction-Using-Natural-Language-Processing
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.
bounswe2015group6
Boun SWE 2015 CMPE 352 Group #6
SkyLine
An Exploration into Graph Databases
project1
this is a trial version of what i am doing