mgorinova

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

lm-buddy

Your buddy in the (L)LM space.

feature-propagation

llama3

The official Meta Llama 3 GitHub site

SCRUB

awesome-machine-unlearning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

machine_unlearning

Existing Literature about Machine Unlearning

starting-kit

Starting kit for the NeurIPS 2023 unlearning challenge

jax-triton

jax-triton contains integrations between JAX and OpenAI Triton

triton

Development repository for the Triton language and compiler

distrax

twiser

Advanced variance reduction methods

bayes-workflow-book

Source files for the book "Bayesian Workflow Using Stan"

awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning.

manim

A community-maintained Python framework for creating mathematical animations.

manim

Animation engine for explanatory math videos

graph-neural-pde

Graph Neural PDEs

ffjord-rnode

Regularized Neural ODEs (RNODE)

mlpaper

Easy benchmarking of machine learning models with sklearn interface with statistical tests built-in.

pytorch_geometric

Graph Neural Network Library for PyTorch

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

tgn

TGN: Temporal Graph Networks

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

pymc2020_model_checking

verona

Research programming language for concurrent ownership

Eff

A library for programming with Algebraic Effects in F#

DiffSharp

DiffSharp: Differentiable Functional Programming

case-studies

Case studies in applied and computational statistics.

ppx

Probabilistic Programming eXecution protocol (PPX)

Omega.jl

Causal, Higher-Order, Probabilistic Programming