fukumame

fukumame's Stars

• Eugeny/tabby

  A terminal for a more modern age

  Language:TypeScript58.2k4395.1k3.3k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python53.6k4461315.5k

• moymix/TaskMatrix

  Language:Python34.5k3093483.3k

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python32k1694.7k2.4k

• pola-rs/polars

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

  Language:Rust29.1k1608.5k1.8k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.5k2392.5k3.2k

• lvgl/lvgl

  Embedded graphics library to create beautiful UIs for any MCU, MPU and display type.

  Language:C16.1k2993.3k3.2k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.7k26746926

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook8.7k95388751

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python7.9k33290987

• getmoto/moto

  A library that allows you to easily mock out tests based on AWS infrastructure.

  Language:Python7.6k662.8k2k

• facebookresearch/dino

  PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

  Language:Python6.2k67247901

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python6.2k39295652

• clovaai/donut

  Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

  Language:Python5.7k46295461

• Codium-ai/pr-agent

  🚀CodiumAI PR-Agent: An AI-Powered 🤖 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! 💻🔍

  Language:Python5.5k46293510

• schemaspy/schemaspy

  Database documentation built easy

  Language:HTML3.2k50606311

• erg-lang/erg

  A statically typed language compatible with Python

  Language:Rust2.7k1722655

• kayak/pypika

  PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.

  Language:Python2.5k36431294

• dragen1860/MAML-Pytorch

  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

  Language:Python2.3k2472421

• luca-medeiros/lang-segment-anything

  SAM with text prompt

  Language:Jupyter Notebook1.5k951167

• SHI-Labs/Versatile-Diffusion

  Versatile Diffusion: Text, Images and Variations All in One Diffusion Model, arXiv 2022 / ICCV 2023

  Language:Python1.3k283481

• Atze00/MoViNet-pytorch

  MoViNets PyTorch implementation: Mobile Video Networks for Efficient Video Recognition;

  Language:Jupyter Notebook25693750

• MishaKav/pytest-coverage-comment

  Comments a pull request with the pytest code coverage badge and full report

  Language:JavaScript17126357

• kiishor/UML-State-Machine-in-C

  A minimalist UML State machine framework for finite state machine and hierarchical state machine in C

  Language:C++165131446

• turingmotors/heron

  Language:Python1575625

• adansons/base

  Adansons Base is a data programming tool for error-analysis of training results. It organizes metadata of unstructured data and creates and organizes datasets. It makes dataset creation more effective and helps to find low-quality data by using the training results and improves AI performance.

  Language:Jupyter Notebook282523

• any-tech/SPADE-fast

  This is an unofficial implementation of the paper "Sub-Image Anomaly Detection with Deep Pyramid Correspondences".

  Language:Python20220

• any-tech/PatchCore-ex

  This is an unofficial implementation of the paper "Towards Total Recall in Industrial Anomaly Detection".

  Language:Python15101

• AillisInc/USPMIE

  Implementation of the LaMEGAN model and the LaSSIM evaluation metric

  8710

• Tagussan/bitsnarl

  Need data error detection w/o heavy computation and any extra bits? Need lightweight scrambler? bitsnarl may help you!

  Language:C6100