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A Library for Advanced Deep Time Series Models.
Scalable and user friendly neural 🧠 forecasting algorithms.
Repository nanoGPT from @karpathy accelerated with JAX/Flax! The simplest, fastest repository for training/finetuning medium-sized GPTs.
TODS: An Automated Time-series Outlier Detection System
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Official repo for the #tidytuesday project
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
The Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.
A machine learning compiler for GPUs, CPUs, and ML accelerators
Stores documents used by the TensorFlow developer community
An Emacs shell-mode (and comint-mode) extension that enables displaying small plots and graphics and lets users write shell commands in Emacs Lisp.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Emacs completion style that matches multiple regexps in any order
Build and install TensorFlow C++ API library.
Pen and paper exercises in machine learning
Parse AWS CloudTrail events and send alerts to Slack for events that match pre-configured rules
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
Algorithms for explaining machine learning models
#StandWithUkraine banner and related documents
A simple zero-config tool to make locally trusted development certificates with any names you'd like.
R package - Visualization of subgroups for decision trees
The FastPFOR C++ library: Fast integer compression
Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering
A Python nearest neighbor descent for approximate nearest neighbors
R package implementing the Nearest Neighbor Descent method for approximate nearest neighbors
R package to send function calls as jobs on LSF, SGE, Slurm, PBS/Torque, or each via SSH
Function-oriented Make-like declarative workflows for R