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

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

PRML algorithms implemented in Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

YoloV3 Implemented in Tensorflow 2.0

Tracking Any Point (TAP)

Notebooks and various random fun

Pelee: A Real-Time Object Detection System on Mobile Devices

Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" (CVPR 2019, T-PAMI 2021)

A library for developing deep generative models in a more concise, intuitive and extendable way

Tensorflow tutorial of building different dynamic recurrent neural network

Broccoli - distributed task queues for ESP32 cluster

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

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

日本語WikipediaコーパスでBERTのPre-Trainedモデルを生成するためのリポジトリ

A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.

A collection of examples demonstrating how we can build speech synthesis systems using nnmnkwii.

確率ロボティクスのアルゴリズム解説（こちらに最新・もっと正確なバージョンがあります->）