A collection of modern/faster/saner alternatives to common unix commands.

Fourier Domain Adaptation for Semantic Segmentation

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

A complete computer science study plan to become a software engineer.

Building simple database for geospatial data using Go programming language workshop

新型コロナウイルス感染症（COVID-19）の国内における状況を厚生労働省の報道発表資料からビジュアルにまとめた。

Manage your app's Ruby environment

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

Google Drive CLI Client

A cross-platform, customizable science fiction terminal emulator with advanced monitoring & touchscreen support.

2019年度数理情報工学実験第二リポジトリ

Implementation for "Joint Event Detection and Description in Continuous Video Streams"

Cineast is a multi-feature content-based mulitmedia retrieval engine. It is capable of retrieving images, audio- and video sequences as well as 3d models based on edge or color sketches, textual de…

The official repository for ERNIE 4.5 and ERNIEKit – its industrial-grade development toolkit based on PaddlePaddle.

Examples of Machine Learning code using Comet.ml

Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io

DEPRECATED; see https://github.com/tianon/docker-brew-ubuntu-core/pull/248

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

YOLOv2 in PyTorch

A PyTorch Implementation of Single Shot MultiBox Detector

幾何数理工学ノート

Fate Grand Order auto battle script - no root needed, for Android use only

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

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

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"

50k English-Japanese Parallel Corpus for Machine Translation Benchmark.

calculation practice for F_{13}