Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Fast protein backbone generation with SE(3) flow matching.

Automatic Functional Differentiation in JAX

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Deep universal probabilistic programming with Python and PyTorch

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic model…

Training models for basecalling Oxford Nanopore reads

Tensors and neural networks in Haskell

Haskell bindings for TensorFlow

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Tutorial on how to use Cython to optimize Python code.

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Python and C++ code for reading and writing genomics data.

Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics

A highly efficient implementation of Gaussian Processes in PyTorch

PyTorch CTC Decoder bindings

starter from "How to Train a GAN?" at NIPS2016

Minimal Jekyll blog styled to resemble the look and layout of Edward Tufte's books

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Neural net code for lexicon-free speech recognition with connectionist temporal classification

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Signal-level algorithms for MinION data

Tensors and Dynamic neural networks in Python with strong GPU acceleration

TensorFlow-based neural network library

A curated list of awesome deep learning applications in the field of computational biology

Simple tutorials using Google's TensorFlow Framework

Recurrent Neural Network - A curated list of resources dedicated to RNN

RTBkit is an open-source software package that allows you to create and deploy a Real Time Bidder for display advertising.

Instructions for setting up the software on your deep learning machine