zaWurdu's Stars
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
google/tf-quant-finance
High-performance TensorFlow library for quantitative finance.
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
girafe-ai/ml-course
Open Machine Learning course
PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
GnuriaN/format-README
Формат файла README
PacktPublishing/Python-for-Finance-Cookbook
Python for Finance Cookbook, published by Packt
NGYB/Stocks
Programs for stock prediction and evaluation
vollib/py_vollib
LechGrzelak/FinancialEngineering_IR_xVA
hukenovs/coursera_ml_da_specialization
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
amuguruza/NN-StochVol-Calibrations
We implement the paper: Deep Learning Volatility
jelfring/particle-filter-tutorial
nhaga/QuantLib-Python-Docs
Documentation for QuantLib-Python
learnaidrist/Coursera-HSE-Introduction-to-Deep-Learning
VegaInstitute/C-StochasticVolatility
ml4046/cfinance-filtering
Filtering and Parameter Estimation for Stochastic Process
alex98247/statistic-test