Stars
A playbook for systematically maximizing the performance of deep learning models.
A modern Neovim configuration with full battery for Python, Lua, C++, Markdown, LaTeX, and more...
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
A tiling window manager for macOS based on binary space partitioning
Automatic tiling window manager for macOS à la xmonad.
Open Source Continuous File Synchronization
Computation of reaction coordinates of complex dynamical systems using the transition manifold method.
covidAsk: Answering Questions on COVID-19 in Real-Time
RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
OpenCV implementation of Torchvision's image augmentations
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)
Vim python-mode. PyLint, Rope, Pydoc, breakpoints from box.
Fish shell like syntax highlighting for Zsh.
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
A code-searching tool similar to ack, but faster.
Image augmentation library in Python for machine learning.
A lightweight library for PyTorch training tools and utilities
Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib