Pinned Repositories
2015
adaptfilt
Adaptive filtering module for Python
Aerial
Apple TV Aerial Screensaver for Mac
aiide13_mechopt
Bayesian Optimization of Game Mechanics
aima-exercises
Exercises for the book Artificial Intelligence: A Modern Approach
aima-glossary
BKJackson_Wiki
A wiki for saving various links, scripts, files, and notes.
MacMailAnalytics
SQLite code for analyzing your Mac OS X Mail files
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
python_for_geosciences
Introduction to python use in geosciences.
BKJackson's Repositories
BKJackson/BKJackson_Wiki
A wiki for saving various links, scripts, files, and notes.
BKJackson/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
BKJackson/python_for_geosciences
Introduction to python use in geosciences.
BKJackson/analyzingalpha
BKJackson/Basic-Well-Log-Interpretation
Basic Well Log Interpretation with python, pandas, matplotlib
BKJackson/cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
BKJackson/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
BKJackson/dask-examples
Easy-to-run example notebooks for Dask
BKJackson/Data-Analysis
Data Science Using Python
BKJackson/data-science-is-software
BKJackson/geothermal_fluidinclusions_wells
analysis of continuous fluid inclusion - gas analysis data from geothermal wells
BKJackson/GPflow
Gaussian processes in TensorFlow
BKJackson/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
BKJackson/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.
BKJackson/legacy-docs
Serves the documentation for the last release of the "fatiando" library.
BKJackson/ml-engineering
Machine Learning Engineering Open Book
BKJackson/ModSimPy
Text and supporting code for Modeling and Simulation in Python
BKJackson/Mohr_Envelope
Visualize Mohr Circle and Failure Envelope
BKJackson/mvts_transformer
Multivariate Time Series Transformer, public version
BKJackson/numerical-mooc
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
BKJackson/PILCO
Bayesian Reinforcement Learning in Tensorflow
BKJackson/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
BKJackson/Python-for-Signal-Processing
Notebooks for "Python for Signal Processing" book
BKJackson/PythonDataScienceHandbook
Supplemental materials for my OReilly project, the Python Data Science Handbook
BKJackson/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
BKJackson/scipy_con_2019
Tutorial Sessions for SciPy Con 2019
BKJackson/talks
Repo for all my talks (slides and code)
BKJackson/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
BKJackson/ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
BKJackson/tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai