Alex Kreimer's repositories
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.
caffe
Caffe: a fast open framework for deep learning.
data_science_delivered
Observations from Ian on successfully delivering data science products
django-pagination
Automatically exported from code.google.com/p/django-pagination
django_markdown
Django markdown support and wysiwig
lisa-caffe-public
Lisa Anne's public caffe code.
odometry_survey
odometry_survey
opencv
Open Source Computer Vision Library
ORB_SLAM
A Versatile and Accurate Monocular SLAM
ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
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 ;)
programming_questions
A set of interview-like programming exercises
rf_vs_gboost
Random Forest vs. Gradient Boosting for scale estimation
rtags
A c/c++ client/server indexer for c/c++/objc[++] with integration for Emacs based on clang.
tensorboard
TensorFlow's Visualization Toolkit
tensorflow
Computation using data flow graphs for scalable machine learning
test_repo
test repository
tom-cv
Various computer vision routines by Tom Botterill. Essential matrix estimation+optimisation, BoWSLAM, BaySAC, real-time local mosaicing.
vods
GPS track post-processing