AntoineB0urret

AntoineB0urret's Stars

• joewdavies/geoblender

  Tutorials for making 3D-looking maps with Blender and QGIS

  1.7k105

• borisbanushev/stockpredictionai

  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.

  4.7k1.7k

• davidteather/tinder-bot

  Tinder Automation Bot

  Language:Python3310

• giotto-ai/giotto-tda

  A high-performance topological machine learning toolbox in Python

  Language:Python889183

• xuChenSJTU/SAT-master-online

  This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".

  Language:Python285

• jingw2/demand_forecast

  Language:Python462122

• microsoft/StemGNN

  Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

  Language:Python537118

• ML4ITS/tdt99-2020

  Repository for the theory module TDT99

  376

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python22.1k3.8k

• hazdzz/stgcn

  The PyTorch implementation of STGCN.

  Language:Python553117

• philipperemy/n-beats

  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

  Language:Python878166

• Rodgrandez/Master-Thesis-code.-

  This code reproduces the implied volatility from the market

  Language:Jupyter Notebook104

• ynouri/pysabr

  SABR model Python implementation

  Language:Jupyter Notebook49284

• samuellee19/CSCI145_Option_Pricing

  Language:Jupyter Notebook133

• llSourcell/tesla_bitcoin_miner

  This is the code for "Tesla Bitcoin Miner" this week's live machine learning game show hosted by Siraj Raval

  Language:JavaScript3813

• akanimax/my-deity

  I worship the one true neural network architecture that can autonomously learn everything.

  Language:Jupyter Notebook124

• nikked/drl-crypto-portfolio-management

  Language:Python135

• ssydasheng/Bayesian_neural_network_papers

  Papers for Bayesian-NN

  32253

• epfml/ML_course

  EPFL Machine Learning Course, Fall 2024

  Language:Jupyter Notebook1.3k918

• jeffwen/road_building_extraction

  Using Pytorch implementation of U-Net architecture for road and building extraction

  Language:Python12231

• Paulymorphous/skeyenet

  Road and Building Segmentation in Satellite Imagery

  Language:Jupyter Notebook13842

• bnosac/cronR

  A simple R package for managing your cron jobs.

  Language:R29138

• aiordache/demos

  Demo resources for DockerCon

  Language:Python7392

• cobeylab/Rt_estimation

  Code to test Rt estimates against synthetic data

  Language:R1715

• epfl-ada/2020

  Materials for Applied Data Analysis CS-401, fall 2020

  Language:Jupyter Notebook49122

• jxiw/Intelligent-Agent

  EPFL CS-430 Intelligent agents

  Language:Java55

• Barbany/IA-epfl

  Repository for the programming exercises of the Intelligent Agents course (CS-430) at EPFL.

  Language:Java41

• epfml/OptML_course

  EPFL Course - Optimization for Machine Learning - CS-439

  Language:Jupyter Notebook1.2k328

• garyexplains/examples

  Example code used in my videos

  Language:C567190

• cheerzzh/CPP-design-pattern-derivatives-pricing

  My codes and notes for Joshi's book: c++ design patterns and derivatives pricing

  Language:C++12758