Alternatives and similar repositories for osu-talk:

Users that are interested in osu-talk are comparing it to the libraries listed below

• SimonOuellette35 / PyData-talk---Intro-to-PyMC3
  Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
  ☆13Updated 5 years ago
• mfrdixon / GP-CVA
  ☆13Updated 5 years ago
• jaungiers / Random-Portfolio-vs-Benchmark-Strategy
  Python Monte Carlo Simulation to model returns from randomly generated portfolios against a benchmark index.
  ☆23Updated 10 years ago
• druce / Machine-learning-for-financial-market-prediction
  Machine Learning for Financial Market Prediction
  ☆58Updated 6 years ago
• firmai / python-for-finance
  ☆14Updated 5 years ago
• steve98654 / PyTalk
  Files for Python Talk
  ☆24Updated 8 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆42Updated 6 years ago
• broughtj / Fin6470
  Finance 6470: Derivatives Markets
  ☆11Updated 3 years ago
• ssanderson / convex-optimization-for-finance
  Talk Materials for "Convex Optimization for Finance"
  ☆28Updated 2 years ago
• nckwhiteley / volatility-change-points
  Dynamic time series clustering via volatility change-points
  ☆16Updated 5 years ago
• firmai / DeepLearningForTimeSeriesForecasting
  A tutorial demonstrating how to implement deep learning models for time series forecasting
  ☆12Updated 5 years ago
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 8 years ago
• jaungiers / TensorFlow-Intro
  Introduction to TensorFlow. Basic operators, linear and logistic regression and Tensorboard
  ☆22Updated 8 years ago
• BlackArbsCEO / Mixture_Models
  Jupyter (IPython) notebooks for exploring mixture models
  ☆37Updated 7 years ago
• hualiu01 / LSTMRNNStockr
  (1) LSTM-RNN stock prices (historical closing precies of S&P500) prediction using keras with tensorflow. (2) Experiments APIs on the netw…
  ☆23Updated 7 years ago
• yu-iskw / auto-sklearn-examples
  auto-sklearn examples on Jupyter notebooks
  ☆13Updated 7 years ago
• mhamilton723 / pyTrading
  A library for stock market analysis and automated trading, powered by sklearn.
  ☆41Updated 9 years ago
• jdwittenauer / kaggle
  Repository for code used in Kaggle competitions.
  ☆22Updated 6 years ago
• ChadFulton / pymar
  Markov Switching Models for Statsmodels
  ☆22Updated 8 years ago
• thalesians / bayestsa
  A Python library implementing Bayesian methods for solving estimation and forecasting problems in time series analysis
  ☆21Updated 8 years ago
• StuartGordonReid / Python-Notebooks
  IPython Notebooks from old blog posts
  ☆28Updated 7 years ago
• suraj-maniyar / Stock-Trading-Using-Machine-Learning
  A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.
  ☆22Updated 6 years ago
• llSourcell / LoanDefault-Prediction
  Lending Club Loan data analysis
  ☆45Updated 6 years ago
• tirthajyoti / mlr
  Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features
  ☆33Updated 5 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 7 years ago
• yrbszhsh / Principles-of-Artificial-Intelligence-Learning-Algorithms
  My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms
  ☆13Updated 5 years ago
• kouzapo / QFiPy
  Portfolio optimization package in Python.
  ☆16Updated 5 years ago
• SimonOuellette35 / SVmodels
  Stochastic volatility models
  ☆18Updated 6 years ago