Lists (1)
Stars
A list of paper templates in the area of machine learning.
Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch
A Collection of Variational Autoencoders (VAE) in PyTorch.
Allosaurus is a pretrained universal phone recognizer for more than 2000 languages
Automatic tiling window manager for macOS à la xmonad.
Simulation platform for general-purpose robotics & embodied AI learning.
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Optax is a gradient processing and optimization library for JAX.
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Collection of Alacritty color schemes
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
Python package and data files for manipulating phonological segments (phones, phonemes) in terms of universal phonological features.
Machine Learning Engineering Open Book
A tiling window manager for macOS based on binary space partitioning
Deep Articulatory Synthesis and Inversion
A playbook for systematically maximizing the performance of deep learning models.
A beautiful, simple, clean, and responsive Jekyll theme for academics
Latex code for making neural networks diagrams
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms