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

Port of Single Shot MultiBox Detector to Keras

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->）

BERT with SentencePiece for Japanese text.