Ahmad Salim Al-Sibahi

numbers. Haskell

repa. High performance, regular, shape polymorphic parallel arrays.

rethinking-numpyro. Statistical Rethinking (2nd ed.) with NumPyro

cython. The most widely used Python to C compiler

deep-probprog-course. Deep Probabilistic Programming Course @ DIKU

SymJAX. Documentation:

pyprob_java. PyProb Java bindings

CnC_Remastered_Collection. Command & Conquer: Remastered Collection

Idris2. A purely functional programming language with first class types

Smalltalk. By the Bluebook implementation of Smalltalk-80

flax. Flax is a neural network library for JAX that is designed for flexibility.

rfcs. PyTorch RFCs (experimental)

numpyro_stein. Python

Stein-Variational-Gradient-Descent. code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

nonlinear_svgd. Nonlinear SVGD for Learning Diversified Mixture Models

firefly-monte-carlo. Implementation of an algorithm for Markov chain Monte Carlo with data subsampling

drbayes. Dr. Bayes

Stein-Variational-Gradient-Descent. code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

linear.agda. A library and case-study for linear, intrinsically-typed interpreters in Agda

next-700-module-systems. PhD research ;; What's the difference between a typeclass/trait and a record/class/struct? Nothing really, or so I argue.

gentle-intro-to-reflection. A slow-paced introduction to reflection in Agda. ---Tactics!

DewarpNet. Code for the paper "DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks" (ICCV '19)

pyro-api. Generic API for dispatch to Pyro backends.

stanc3. The Stan transpiler (from Stan to C++ and beyond).

pioneers-pp-abc-talk. Pioneers-pp presentation, and code examples

NCCL. Windows version of NVIDIA's NCCL ('Nickel') for multi-GPU training - please use https://github.com/NVIDIA/nccl for changes.

talk-2018-deep-learning-rebooted. "A Functional Reboot for Deep Learning", an invited talk for Summer BOB 2019 in Berlin

language-detection. This is a language detection library implemented in plain Java. (aliases: language identification, language guessing)

langdetect. Port of Google's language-detection library to Python.

hmsearch. C++ implementation of hamming distance algorithm HmSearch using Kyoto Cabinet

blockhash-python. Implementation of perceptual image hash calculation in Python

edward2. A simple probabilistic programming language.

plaidml. PlaidML is a framework for making deep learning work everywhere.

brian2. Brian is a free, open source simulator for spiking neural networks.

agents. TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

RL-Adventure. Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

gpt-2. Code for the paper "Language Models are Unsupervised Multitask Learners"

PyNN. A Python package for simulator-independent specification of neuronal network models.

idris-ct. formally verified category theory library

Idris2-boot. A dependently typed programming language, a successor to Idris

darknet. Convolutional Neural Networks

hakaru. A probabilistic programming language

SparseNet. [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895

bayesian_tree. Python

ncp. Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors

org.alloytools.alloy. Alloy is a language for describing structures and a tool for exploring them. It has been used in a wide range of applications from finding holes in security mechanisms to designing telephone switching networks. This repository contains the code for the tool.

AdaBound-Tensorflow. Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019)

tensor2tensor. Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

XBART. C++

pyGPGO. Bayesian optimization for Python

cnn-surrogate. Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

xla. Enabling PyTorch on XLA Devices (e.g. Google TPU)

inplace_abn. In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

minimc. Just a little MCMC

Futhark_Convolution. Implementation of algorithms for image processing and feature extraction in Futhark.

warplda. Cache efficient implementation for Latent Dirichlet Allocation

soft-decision-tree. pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"

xgboost. Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

pyprobml. Python code for "Probabilistic Machine learning" book by Kevin Murphy

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

tensorboardX. tensorboard for pytorch (and chainer, mxnet, numpy, ...)

MIRAI. Rust mid-level IR Abstract Interpreter

arxiv-latex-cleaner. arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

sf. Mirror of Software Foundations in PDF

easytensor. Many-dimensional type-safe numeric ops

hasktorch. Tensors and neural networks in Haskell

numpyro. Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

neuralkanren. Neural Guided Constraint Logic Programming for Program Synthesis

torchkit. Python

haskell-hedgehog. Release with confidence, state-of-the-art property testing for Haskell.

pytorch_geometric. Graph Neural Network Library for PyTorch

futhark-ad. Notes, examples, and general work on automatic differentiation and probabilistic programming

futhark. :boom::computer::boom: A data-parallel functional programming language

pyro-models. Repository of models in Pyro

karamel. KaRaMeL is a tool for extracting low-level F* programs to readable C code

pixy-lang. Current work documents on the Pixy programming language

funsor. Functional tensors for probabilistic programming

ludwig. Low-code framework for building custom LLMs, neural networks, and other AI models

symbolic-pymc. Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.

mcmc-demo. Interactive Markov-chain Monte Carlo Javascript demos

ATS-Xanadu. Bootstrapping ATS3

cwfs. Formalization of Categories with Families

pymc3-experimental. PyMC3 experimental features not ready to be included in PyMC3 (yet)

awful-ai. 😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

nevergrad. A Python toolbox for performing gradient-free optimization

code. Proof theory seminar

Meta. Mechanizing Types and Programming Languages using Beluga

kernel-ep. UAI 2015. Kernel-based just-in-time learning for expectation propagation

redtt. "Between the darkness and the dawn, a red cube rises!": a proof assistant for cartesian cubical type theory

swift. A compiler for BLOG probabilistic programming language

anglican-infcomp. Clojure library for Inference Compilation

anglican. Probabilistic Programming System Anglican

ppx. Probabilistic Programming eXecution protocol (PPX)

pyprob. A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch

anglican-infcomp-examples. Examples for anglican-infcomp

infer. Infer.NET is a framework for running Bayesian inference in graphical models

Kind. A modern proof language

MXFusion. Modular Probabilistic Programming on MXNet

irssi-rust. Rust crate for writing modules for the Irssi IRC client

aoc2018. Advent of Code 2018

DMTK. Microsoft Distributed Machine Learning Toolkit

ignite. High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

eran. ETH Robustness Analyzer for Deep Neural Networks

generic-syntax. A Scope-and-Type Safe Universe of Syntaxes with Binding, Their Semantics and Proofs

the-incredible-pytorch. The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

MS-DOS. The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes

agda-brzozowski. [WIP] Brzozowski's DFA minimization algorithm in Agda.

hitherdither. Dithering algorithms for arbitrary palettes in PIL

pm-prophet. GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

zhusuan. A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

qsort-inline. Apple's qsort implementation with support for inlined comparison (by macros)

coq-in-coq. A formalisation of the Calculus of Constructions

Wox. A cross-platform launcher that simply works

Venturecxx. Primary implementation of the Venture probabilistic programming system

bayeslite. BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.

arviz. Exploratory analysis of Bayesian models with Python

DocEmul. A Toolkit to Generate Structured Historical Documents

pymc4. (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

wg-verification. Verification working group

certigrad. Bug-free machine learning on stochastic computation graphs

minigo. An open-source implementation of the AlphaGoZero algorithm

typepal. TypePal is a framework for name analysis, type checking and type inference

rascal-core. Static checker, compiler to Java and run-time classes for compiled Rascal programs

library. Library of the ##dependent distributed research support group

UniMath. This rocq library aims to formalize a substantial body of mathematics using the univalent point of view.

smalltt. Demo for high-performance type theory elaboration

Bi71. being a bidirectional reformulation of Martin-Löf's 1971 type theory

idris-tparsec. TParsec - Total Parser Combinators in Idris

Scallina. A Coq-based synthesis of Scala programs which are correct-by-construction

quad-ropes. Ropes meet quad trees on .Net

Idris-book. Idris for Everybody

popl2018-papers. Link to preprints for POPL'18 and colocated events

pyro. Deep universal probabilistic programming with Python and PyTorch

rocq. The Rocq Prover is an interactive theorem prover, or proof assistant. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.

nunchaku-coq. [not-working] Coq plugin for using Nunchaku from Coq

hezarfen. a theorem prover for intuitionistic propositional logic in Idris, with metaprogramming features

regexpanalyser. Lattice valued regular expressions and an example analysis

Theano. Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

tensorflow. An Open Source Machine Learning Framework for Everyone

lean-protocol-support. This project contains various supporting libraries for lean to reason about protocols.

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers. aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pymc. Bayesian Modeling and Probabilistic Programming in Python

orly-full-res. Full resolution images of the O RLY book covers made by The Practical Dev

tetris-writeup. A place to draft the answers for the tetris PPCG challenge

SpaceSearch. Coq

self. Making the world safe for objects

coquand. TODO

parametric-demo. Agda

zKanren. zKanren

p3-tool. A reconfigurator tool for fPromela with support for variability abstractions.

Blodwen. A prototype successor to Idris

idris-chez. An idris backend compiling to chez scheme

formalabstracts. Lean

lean3. Lean Theorem Prover

epigram1. A version of Epigram 1 that can run with newer GHCs

ELINA. ELINA: ETH LIbrary for Numerical Analysis

sml-redprl. The People's Refinement Logic

models17. MoDELS 2017 Artifact Evaluation

itu-thesis. A highly unofficial, still experimental LaTeX document class for ITU M.Sc. and Ph.D. theses and dissertations

inox. Solver for higher-order functional programs, used by Stainless

stainless. Verification framework and tool for higher-order Scala programs. https://gitlab.epfl.ch/lara/stainless

cubicaltt. Experimental implementation of Cubical Type Theory

ScalaZ3. DSL in Scala for Constraint Solving with Z3 SMT Solver

data. Data and code behind the articles and graphics at FiveThirtyEight

spacemacs. A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!

glagol-dsl. A domain specific language that utilizes Domain-Driven Design

et-al. Fun with binary relation algebra

rebel. Rascal

allealle. AlleAlle: a Bounded Relational Model Finder with Data

php-analysis. PHP language analyses in Rascal

oberon0. Ruby

Rascal-Light. Implementation of Rascal Light and Rabit - Static Analyzer for Rascal Light

parseback. A Scala implementation of parsing with derivatives

cubical-demo. Agda

agda-effectful-forcing. Agda formalization of the paper, "Higher-Order Functions and Brouwer's Thesis". Deduces a Brouwer ordinal from a function ((nat -> nat) -> nat) in System T.

rascal-syntax-highlighting. TM Bundle for syntax highlighting Rascal code

Luck. Luck -- A Language for Property-Based Generators

rascal. The implementation of the Rascal meta-programming language (including interpreter, type checker, parser generator, compiler and JVM based run-time system)

megaparsec. Industrial-strength monadic parser combinator library

hasktrip. Datalog implementation in Haskell. Experimental proving ground for knowledge-base ideas.

sle16. SLE 2016 Artefact Evaluation

SymexTRON. Symbolic Executor for the High-Level Transformation Language TRON

ling. LINear LaNGuage: Type Theory and Process Calculi for Distributed and High-precision programming

microKanren. The implementation of microKanren, a featherweight relational programming language

spoon. Spoon is a metaprogramming library to analyze and transform Java source code. :spoon: is made with :heart:, :beers: and :sparkles:. It parses source files to build a well-designed AST with powerful analysis and transformation API.

flix. The Flix Programming Language

var. Verification via Abstract Reduction

swift. The Swift Programming Language

saw-script. The Software Analysis Workbench

T2. T2 Temporal Prover

hbmc. Haskell Bounded Model Checker

nunchaku. Model finder for higher-order logic

quickspec. Equational laws for free

SmartCheck. A Smarter QuickCheck

research. Work in progress

potpourri. Where my everyday research happens

pudding-old. A language-integrated proof assistant, for and in Racket

LiTra. Official page for Lightweight Transformations for .NET (LiTra)

vbc. Java