FrankPSch's Stars
github/covid19-dashboard
A site that displays up to date COVID-19 stats, powered by fastpages.
dmitrii303/covid
therealcyberlord/coronavirus_visualization_and_prediction
This repository tracks the spread of the novel coronavirus, also known as SARS-CoV-2. It is a contagious respiratory virus that first started in Wuhan in December 2019. On 2/11/2020, the disease is officially named COVID-19 by the World Health Organization.
CSSEGISandData/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
nrontsis/PILCO
Bayesian Reinforcement Learning in Tensorflow
zhangzhizza/Gym-Eplus
MTayabShafique/HEMS
Home Energy Management System
dctian/DeepPiCar
Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
korzen/PiCar_ROS
ROS node for SunFounder Smart Car Kits v2.0 (PiCar-V and PiCar-S)
yazanobeidi/fraud-detection
Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
GitiHubi/deepAI
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
1rocketdude/market_profile
graphically display the market profile for any security using data downloaded from Tiingo
williamkky/Two-Sigma-Using-News-to-Predict-Stock-Movements
Ashwinsubbu/Two-sigmaStock-Price-Prediction-
ivanliu1989/two-sigma-financial-news
Use news analytics to predict stock price performance $100,000
OwenMasculinity/Kaggle-Two_Sigma
Kaggle数据挖掘竞赛《Two Sigma: Using News to Predict Stock Movements》
Rajneesh-Tiwari/Kaggle_TwoSigma_UsingNewsToPredictStockReturns
My code for kaggle two sigma competition wherein I participated. The task of this competition is to predict future stock movements using history and News headline data.
silvernine209/stock_price_prediction
Predicting stock price movement using NN and XGBoost. Kaggle competition - Top 2% final standing.
alibakh62/Two-Sigma-Predict-Stock-Movement
This repository contains my solution to the following Kaggle competition: Two Sigma: Using News to Predict Stock Movements
keshasha/npDL
deep learning code by numpy
chaoming0625/NumpyDL
Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
danielsabinasz/TensorSlow
Re-implementation of TensorFlow in pure python, with an emphasis on code understandability
tensorfreitas/Siamese-Networks-for-One-Shot-Learning
Implementation of Siamese Neural Networks for One-shot Image Recognition
CuriousAI/mean-teacher
A state-of-the-art semi-supervised method for image recognition
KoffeinFlummi/SudokuSolver
A script that tries to extract a sudoku from an image and solve it.
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
deependersingla/deep_trader
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.
hackthemarket/gym-trading
Environment for reinforcement-learning algorithmic trading models
Yvictor/TradingGym
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
thedimlebowski/Trading-Gym
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.