danoneata

danoneata's Stars

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  25.5k281362.1k

• lmcinnes/umap

  Uniform Manifold Approximation and Projection

  Language:Python7.1k127773774

• srush/MiniChain

  A tiny library for coding with large language models.

  Language:Python1.2k151072

• pytorch/data

  A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.

  Language:Python1.1k37477143

• LaPreprint/LaPreprint

  📝 A nicely formatted LaTeX preprint template

  Language:TeX54392973

• aleximmer/Laplace

  Laplace approximations for Deep Learning.

  Language:Python424912159

• leopard-ai/betty

  Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

  Language:Python32491128

• srush/Autodiff-Puzzles

  Language:Jupyter Notebook3126417

• hazelgrove/tylr

  a tiny tile-based editor

  Language:Reason2631452

• gabegrand/world-models

  Language:Jupyter Notebook1773312

• jacobgil/confidenceinterval

  The long missing library for python confidence intervals

  Language:Python1216714

• prolearner/hypertorch

  Language:Python1186916

• Nutlope/devwriting

  All resources & exercises from the Miami Dev Writer's Retreat

  104639

• japiirainen/fp

  A small, weird and unpractical programming language.

  Language:Haskell102201

• statusfailed/catgrad

  a categorical deep learning compiler

  Language:Python89821

• apple/ml-calibration

  relplot: Utilities for measuring calibration and plotting reliability diagrams

  Language:Jupyter Notebook771002

• acmi-lab/cmu-10732-robustness-adaptivity-shift

  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments

  721211

• locuslab/torchdeq

  Modern Fixed Point Systems using Pytorch

  Language:Python64666

• mattecapu/awesome-double-categories

  A list of works and resources about double category theory, with a particular focus on applications.

  24322

• e-bug/fine-grained-evals

  [ACL 2023] Code and data for our paper "Measuring Progress in Fine-grained Vision-and-Language Understanding"

  Language:Jupyter Notebook13101

• JacquesCarette/Notes

  13500

• stevana/pipelined-state-machines

  An experiment in declaratively programming parallel pipelines of state machines.

  Language:Haskell13300

• yixinwang/lidvae-public

  Language:R133

• fredrikNordvallForsberg/CS410-22

  being the teaching materials and exercises for CS410 Advanced Functional Programming at the University of Strathclyde, 2022/23 session

  Language:Agda113

• srush/torch-mechanics

  Amateur experiments with autodiff mechanics simulators

  740

• gallais/CS410-2024

  Content of the CS410 lectures

  Language:Agda62

• kamperh/yfacc

  YFACC: A Yorùbá speech-image dataset for cross-lingual keyword localisation through visual grounding

  Language:SCSS6

• evaldsurtans/FSCC-Oak-Knots-Dataset

  Language:Python30

• mikeshulman/math494

  Language:Lean2

• traiansf/propositions-as-types

  Some scribbling while reading Type Theory and Formal Proofs by Rob Nederpelt and Herman Geuvers

  Language:Coq2100