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Leo Ota's Projects

adapt icon adapt

Awesome Domain Adaptation Python Toolbox

ascender icon ascender

Accelerator of Scientific Development and Research. A project template developed by XCCV group of cvpaper.challenge.

attentions icon attentions

PyTorch implementation of some attentions for Deep Learning Researchers.

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

bamnet icon bamnet

Code & data accompanying the NAACL2019 paper "Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases"

bert icon bert

TensorFlow code and pre-trained models for BERT

brew icon brew

🍺 The missing package manager for macOS

compose icon compose

Define and run multi-container applications with Docker

configuration icon configuration

configuration for mac or ubuntu bash, vim, tmux environment.

deep_sort icon deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deepsleepnet icon deepsleepnet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

deno icon deno

A modern runtime for JavaScript and TypeScript.

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dlib icon dlib

A toolkit for making real world machine learning and data analysis applications in C++

edfize icon edfize

Ruby gem used to load, validate, and parse European Data Format files. Used for batch testing EDFs for errors.

fcos_plus icon fcos_plus

Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).

gaalop icon gaalop

Gaalop (Geometic Algebra Algorithms Optimizer) is a software to compile and optimize geometric algebra (GA) expressions into high-level programming language code. Geometric algebra expressions can be developed using the freely available CLUCalc software by Christian Perwass. Gaalop optimizes CLUCalc expressions and produces C++ (AMP), OpenCL, CUDA,

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

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