- Boston, MA
- https://pascal.io
Stars
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 filte…
A Web Audio framework for making interactive music in the browser.
Reduces the size of GraphQL responses by consolidating duplicate values
Automatically provision and manage TLS certificates in Kubernetes
JavaScript API for Chrome and Firefox
💫 Industrial-strength Natural Language Processing (NLP) in Python
Fast string editing in Javascript using skip lists
Add-on agent to generate and expose cluster-level metrics.
Beautiful UI for showing tasks running on the command line.
Generalized state model for rich-text editors to interface with browser DOM
OptNet - Reducing memory usage in torch neural nets
Staggeringly powerful macOS desktop automation with Lua
A Neural Turing Machine implementation in Torch.
Recurrent Neural Network library for Torch7's nn
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Bayesian Program Learning model for one-shot learning
Create random strings that match a given regular expression.
An Open Source Machine Learning Framework for Everyone