A collection of learning resources for curious software engineers

✨✨Latest Advances on Multimodal Large Language Models

DerainZoo for collecting deraining methods, datasets, and codes.

Tensors and neural networks in Haskell

Owl - OCaml Scientific Computing @ https://ocaml.xyz

A community repository for benchmarking Bayesian methods

A probabilistic approach from an Improbabilistic company

Deep universal probabilistic programming with Python and PyTorch

Haskell version of fragment assembly without physical potentials, but only with distance restraints and geometric checks

This package provides log-domain floats, doubles and complex numbers for Haskell.

Haskell bindings for TensorFlow

Blog post previews in need of peer review

Log-domain floating point numbers

Bayesian state-space modelling on high-performance hardware, including multicore, GPUs and distributed clusters.

haskell bindings for blas and lapack

TensorFlow - A curated list of dedicated resources https://tensorflow.org

A curated list of awesome Machine Learning frameworks, libraries and software.

An Open Source Machine Learning Framework for Everyone

Tesseract Open Source OCR Engine (main repository)

Python-based tools for document analysis and OCR

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Multivariate distributions based on random-fu

A fast and furious domain-specific language for variational inference in Julia.

https://torch.ch

A library for probabilistic programming in Haskell.