BoltzmannBrain/self-driving
Machine learning models for self-driving cars
SW Engineer specializing in AI & ML
Machine learning models for self-driving cars
Search algorithm for multiobjective optimization (MOO) path planning
Segmentation models with pretrained backbones. PyTorch.
The MoveIt! motion planning framework
lavin.io
{ Personal } website.
Repository for the ML Technology Readiness Levels framework
Design Patterns for Humans™ - An ultra-simplified explanation
Fetching paper abstracts for downstream NLP
The "Python Machine Learning" book code repository and info resource
Bayesian inference with probabilistic programming
A platform for building language / NLP-based applications using NuPIC and Cortical.IO.
Cept API client in python
💻📖 Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws
⛷ Dead simple CSS framework.
Deep universal probabilistic programming with Python and PyTorch
Gaussian processes in TensorFlow
Gaussian process code in C++ including some implementations of GP-LVM and IVM.
Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018
A toolkit for developing and comparing reinforcement learning algorithms.
John Langford's original release of Vowpal Wabbit -- a fast online learning algorithm
API to access OpenAI Gym from other languages via HTTP
Gaussian Process Motion Planner 2
Point cloud library
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
An open letter of gratitude to GitHub
:symbols: A collection of GitHub issue and pull request templates