giotto-ai / molecule_bond_prediction

Related projects: ⓘ

• johnnyp2587 / transfer-learning
  Implementation of transfer learning based with autoencoder architecture
  ☆17Updated 4 years ago
• TsLu1s / TSForecasting
  TSForecasting: Automated Time Series Forecasting Framework
  ☆24Updated 3 months ago
• ryanholbrook / critical-transitions
  Detecting critical transitions in financial networks with topological data analysis.
  ☆17Updated 5 years ago
• mjbommar / rfcorr
  Random Forest-based "Correlation" measures
  ☆15Updated 2 years ago
• ymyke / pypme
  A Python package for PME (Public Market Equivalent) calculation
  ☆10Updated last year
• aliemamalinezhad / Time-Series-and-Financial
  Time series and Financial analysis in python
  ☆14Updated 5 years ago
• shilewenuw / trade_stat_logger
  Log trades of any type of security, and then get an analysis of your strategy
  ☆12Updated 4 years ago
• google / timecast
  Performant, composable online learning
  ☆13Updated 3 years ago
• phschiele / PyCLA
  A Python Package for Portfolio Optimization using the Critical Line Algorithm
  ☆24Updated last year
• erdogant / caerus
  Detection of favorable moments in time series data
  ☆22Updated 4 months ago
• talsan / stock_news
  Collecting news articles for all the companies in the R1000, for a pre-defined set of news outlets, using Diffbot's Knowledge Graph
  ☆10Updated last year
• dash-ml / dash-server
  the server backend for ml-dash
  ☆10Updated last year
• ClarkQTIM / A-Survey-of-Deep-Learning-Architectures-for-Algorithmic-Cryptocurrency-Trading
  This repository is for my master's project, A Survey of Deep Learning Architectures for Algorithmic Cryptocurrency Trading, delivered on …
  ☆8Updated last year
• HananyTolba / makeprediction
  ☆13Updated last year
• mfrdixon / GP-CVA
  ☆13Updated 4 years ago
• Ennosigaeon / xautoml
  XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning
  ☆32Updated 5 months ago
• fabiorodp / uio_master_thesis
  ☆17Updated last year
• KarelZe / tclf
  A scikit-learn compatible classifier to perform trade classification in Python.
  ☆16Updated this week
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆29Updated 8 months ago
• lanl / pyBASS
  Bayesian Adaptive Spline Surfaces for flexible and automatic regression
  ☆20Updated 3 months ago
• evijit / Finance_Graph_Theory
  Modelling Connectedness of Firms in Financial Markets with Heterogeneous Agents
  ☆20Updated 5 years ago
• giotto-ai / noise-to-signal
  How to use topology to decode binary signals in high-noise regimes.
  ☆18Updated 3 years ago
• CausalML-Lab / PCMCI-Omega
  Code for PCMCI-Ω algorithm from the NeurIPS'23 paper "Causal Discovery in Semi-Stationary Time Series"
  ☆11Updated 8 months ago
• MichalOleszak / KnowledgeBank
  Resources and notes on programming, machine learning and data science
  ☆11Updated 3 years ago
• druce / ValueMomentum
  Value and Momentum Using Machine Learning
  ☆11Updated 3 years ago
• kxytechnologies / kxy-python
  A toolkit to boost the productivity of machine learning engineers.
  ☆51Updated 2 years ago
• microprediction / timeseries-elo-ratings
  Elo ratings for time-series forecasting packages
  ☆23Updated 2 years ago
• kouzapo / QFiPy
  Portfolio optimization package in Python.
  ☆16Updated 4 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆42Updated 5 years ago