mgorinova

mgorinova's Stars

• 3b1b/manim

  Animation engine for explanatory math videos

  Language:Python71.3k8971.2k6.3k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.3k2262643.1k

• ManimCommunity/manim

  A community-maintained Python framework for creating mathematical animations.

  Language:Python26.7k1631.5k1.8k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.5k2523.6k3.7k

• triton-lang/triton

  Development repository for the Triton language and compiler

  Language:C++13.5k1951.5k1.7k

• KevinMusgrave/pytorch-metric-learning

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

  Language:Python6k62514658

• rtqichen/torchdiffeq

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

  Language:Python5.6k127217930

• microsoft/verona

  Research programming language for concurrent ownership

  Language:C++3.6k109165166

• AstraZeneca/awesome-explainable-graph-reasoning

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

  1.9k556130

• google-research/torchsde

  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

  Language:Python1.6k3479201

• twitter-research/tgn

  TGN: Temporal Graph Networks

  Language:Python9772533190

• jjbrophy47/machine_unlearning

  Existing Literature about Machine Unlearning

  78626696

• tamlhp/awesome-machine-unlearning

  Awesome Machine Unlearning (A Survey of Machine Unlearning)

  Language:Jupyter Notebook737134752

• DiffSharp/DiffSharp

  DiffSharp: Differentiable Functional Programming

  Language:F#5894016767

• google-deepmind/distrax

  Language:Python537184532

• unlearning-challenge/starting-kit

  Starting kit for the NeurIPS 2023 unlearning challenge

  Language:Jupyter Notebook379218133

• jax-ml/jax-triton

  jax-triton contains integrations between JAX and OpenAI Triton

  Language:Python345205539

• twitter-research/graph-neural-pde

  Graph Neural PDEs

  Language:Jupyter Notebook321121552

• zenna/Omega.jl

  Causal, Higher-Order, Probabilistic Programming

  Language:Julia1641314317

• palladin/Eff

  A library for programming with Algebraic Effects in F#

  Language:F#99804

• jgabry/bayes-workflow-book

  Source files for the book "Bayesian Workflow Using Stan"

  Language:Jupyter Notebook9217415

• cfinlay/ffjord-rnode

  Regularized Neural ODEs (RNODE)

  Language:Python822515

• twitter-research/feature-propagation

  Language:Python780414

• mozilla-ai/lm-buddy

  Your buddy in the (L)LM space.

  Language:Python634123

• twitter-research/twiser

  Advanced variance reduction methods

  Language:Python53438

• meghdadk/SCRUB

  Language:Jupyter Notebook38254

• bob-carpenter/case-studies

  Case studies in applied and computational statistics.

  Language:HTML351206

• rdturnermtl/mlpaper

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

  Language:Python161171

• zaxtax/pymc2020_model_checking

  Language:Jupyter Notebook4300

• probprog/ppx

  Probabilistic Programming eXecution protocol (PPX)

  Language:Rust1202