RyotaBannai

the-algorithm

Source code for Twitter's Recommendation Algorithm

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

ruff

An extremely fast Python linter and code formatter, written in Rust.

polars

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

mojo

The Mojo Programming Language

AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

codon

A high-performance, zero-overhead, extensible Python compiler using LLVM

ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

or-tools

Google's Operations Research tools:

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

ChatRWKV

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

ML-Papers-Explained

Explanation to key concepts in ML

civitai

A repository of models, textual inversions, and more

cheatsheets

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

interpretable-ml-book

Book about interpretable machine learning

matplotplusplus

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

PandasGUI

A GUI for Pandas DataFrames

100knocks-preprocess

データサイエンス100本ノック（構造化データ加工編）

envd

🏕️ Reproducible development environment

detrex

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

aesara

Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

pgx

🎲 Vectorized RL game environments in JAX

fiddle

Adept-2

Combined array and automatic differentiation library in C++

Dstar-lite-pathplanner

Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"

recsys-python

interpretable-ml-book-ja

Japanese translation for book about interpretable machine learning by Christoph Molnar. Main branch is `japanese` branch not `master` branch. If you are interested in translation activity, see `developer_guide.md` in `japanese` branch.

DeepLearningMugenKnock

cd-metadl

NeurIPS 2022 - Cross-domain meta-learning competition