conorhassan

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Queensland University of Technology

Australia, New Zealand

conorhassan.com

Conor Hassan's starred repositories

tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

Language:PythonMIT25898 271 702

mlx

MLX: An array framework for Apple silicon

Language:C++MIT16250 141 490

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Language:Jupyter NotebookMIT9925 107 196

outlines

Structured Text Generation

Language:PythonApache-2.08013 47 539

bitsandbytes

Accessible large language models via k-bit quantization for PyTorch.

Language:PythonMIT5756 48 968

GPU-Puzzles

Solve puzzles. Learn CUDA.

Language:Jupyter NotebookMIT5539 29 28

Tensor-Puzzles

Solve puzzles. Improve your pytorch.

Language:Jupyter NotebookMIT3001 12 19

OpenMoE

A family of open-sourced Mixture-of-Experts (MoE) Large Language Models

Language:Python1329 14 8

fastprogress

Simple and flexible progress bar for Jupyter Notebook and console

Language:Jupyter NotebookApache-2.01084 23 76

conditional-flow-matching

TorchCFM: a Conditional Flow Matching library

Language:PythonMIT993 14 47

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Language:PythonBSD-3-Clause503 17 26

cola

Compositional Linear Algebra

Language:PythonApache-2.0362 4 41

Deep-Dive-Into-AI-With-MLX-PyTorch

"Deep Dive into AI with MLX and PyTorch" is an educational initiative designed to help anyone interested in AI, specifically in machine learning and deep learning, using Apple's MLX and Meta's PyTorch frameworks.

Language:PythonMIT332 13 8

PyVertical

Privacy Preserving Vertical Federated Learning

Language:PythonApache-2.0210 13 56

TransformersCanDoBayesianInference

Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper

Language:Python180 15 3

pyvbmc

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

Language:PythonBSD-3-Clause111 5 12

shortcut-comparison

Performance comparison of parallel Rust and C++

Language:RustMIT99 3 9

MicroCanonicalHMC

MCHMC: sampler from an arbitrary differentiable distribution

Language:Jupyter NotebookGPL-3.065 5 14

torch2jax

Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.

Language:PythonMIT34 2 14

SequentialMonteCarlo.jl

A light interface to serial and multi-threaded Sequential Monte Carlo

Language:JuliaNOASSERTION31 5 1

AdaptiveMCMC.jl

Implementation of some simple adaptive MCMC algorithms

Language:JuliaMIT27 2 6

generax

Generative models with JAX.

Language:Jupyter Notebook18 2 1

Bayesian_SIMD_examples

Supplementary Material to accompany the paper, DJ Warne, SA Sisson, C Drovandi (2019) Acceleration of expensive computations in Bayesian statistics using vector operations.

Language:CGPL-3.013 40

VAI-Lab

Modular pipeline for design assistance. PYPi Package: https://pypi.org/project/vai-lab

Language:Python12 11 10

moveformer

MoveFormer: a Transformer-based model for step-selection animal movement modelling

Language:Jupyter NotebookMIT9 50

snefy

An implementation of squared neural families in PyTorch

Language:PythonMIT7 5 1

SBNN

Repository for reproducing results in paper "Spatial Bayesian Neural Networks"

Language:PythonMIT6 20

PriorCVAE

The PriorCVAE method extends PriorVAE (Semenova et al, Royal Society Interface 2022) to enable parameter inference

Language:PythonMIT3 40

bash-tools

Bash tools

Language:ShellApache-2.03 20

mini-sfvi-refactor

Mini SFVI refactor for multilevel applications

Language:Jupyter NotebookMIT2 10