edong6768

edong6768's Stars

• Textualize/rich

  Rich is a Python library for rich text and beautiful formatting in the terminal.

  Language:Python49.5k5381.3k1.7k

• psf/black

  The uncompromising Python code formatter

  Language:Python38.9k2282.6k2.5k

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust30.2k1679.1k2k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.1k985401.1k

• BartoszJarocki/cv

  Print-friendly, minimalist CV page

  Language:TypeScript9k2134973

• google/flax

  Flax is a neural network library for JAX that is designed for flexibility.

  Language:Jupyter Notebook6.1k86920643

• peaceiris/actions-gh-pages

  GitHub Actions for GitHub Pages 🚀 Deploy static files and publish your site easily. Static-Site-Generators-friendly.

  Language:TypeScript4.7k28225374

• shubhamgrg04/awesome-diagramming

  A curated collection of diagramming tools used by leading software engineering teams

  2.9k381179

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.8k3341397

• orioncactus/pretendard

  어느 플랫폼에서든 사용할 수 있는 system-ui 대체 글꼴 | A system-ui alternative font for all cross-platform

  Language:Python2.7k1596155

• google/neural-tangents

  Fast and Easy Infinite Neural Networks in Python

  Language:Jupyter Notebook2.3k62156226

• eliahuhorwitz/Academic-project-page-template

  A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

  Language:JavaScript2.1k52311

• holtzy/The-Python-Graph-Gallery

  A website displaying hundreds of charts made with Python

  Language:HTML1.9k48149377

• patrick-kidger/diffrax

  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

  Language:Python1.4k21338127

• amirgholami/PyHessian

  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

  Language:Jupyter Notebook6851418118

• locuslab/wanda

  A simple and effective LLM pruning approach.

  Language:Python66096287

• ott-jax/ott

  Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.

  Language:Python5211019280

• JaxGaussianProcesses/GPJax

  Gaussian processes in JAX.

  Language:Python458317453

• lintool/guide

  The Student's Guide to @lintool

  308175823

• MinghuiChen43/awesome-deep-phenomena

  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

  2702319

• google-deepmind/kfac-jax

  Second Order Optimization and Curvature Estimation with K-FAC in JAX.

  Language:Python244111721

• UbiquitousLearning/Efficient_Foundation_Model_Survey

  Survey Paper List - Efficient LLM and Foundation Models

  2175212

• hrcheng1066/awesome-pruning

  163407

• AxelThevenot/Python_Benchmark_Test_Optimization_Function_Single_Objective

  Language:Python8121029

• JakobRobnik/MicroCanonicalHMC

  MCHMC: sampler from an arbitrary differentiable distribution

  Language:Jupyter Notebook705149

• tslmy/latex-input-iOS-macOS

  Text Replacement Definitions for LaTeX Symbols, works for iOS and macOS.

  26301

• fmfi-compbio/admm-pruning

  Language:Python17230

• edong6768/Malet

  🔨 Malet (Machine Learning Experiment Tool) is a tool for efficient machine learning experiment execution, logging, analysis, and plot making.

  Language:Python16101

• LOG-postech/SAM-overparam

  Code for reproducing the results from arXiv paper "Critical Influence of Overparameterization on Sharpness-aware Minimization"

  Language:Python13300

• purang2/KERC-Challenge

  For KERC Model Submission (KNU-SEE 이은찬, 고은우) "Bronze Prize"

  Language:Jupyter Notebook3101