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

The Julia Programming Language

Universal markup converter

💥💻💥 A data-parallel functional programming language

Efficiently computes derivatives of NumPy code.

Differentiable, Hardware Accelerated, Molecular Dynamics

Koka language compiler and interpreter

A language and an embedded JIT compiler

The core of xmonad, a small but functional ICCCM-compliant tiling window manager

A purely functional programming language with first class types

Embedded language for high-performance array computations

Research language for array processing in the Haskell/ML family

Haskell bindings for LLVM

Makefile for Arduino sketches. It defines the workflows for compiling code, flashing it to Arduino and even communicating through Serial.

Compiler with automatic differentiation

A pure Python interface to the Raspberry Pi camera module

Source-to-Source Debuggable Derivatives in Pure Python

Interactive importing of CSV files to Ledger

A pedagogical implementation of Autograd

Visually explore covariation in protein families

Recognizing and exploiting conjugacy without a domain-specific language

integrating Naperian functors with Hasktorch

Analysis software for single-molecule fluorescence resonance energy transfer (smFRET) data.

RPIO is a GPIO toolbox for the Raspberry Pi.

Autograd extension for forward mode autodiff

Kayak is a library for automatic differentiation with applications to deep neural networks.

A domain-specific-language and compiler for low-level bitstream processing.