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2019twbootcamp

Cinnamon Taiwan 2019 Bootcamp!

allegro5

The official Allegro 5 git repository. Pull requests welcome!

autogluon

AutoGluon: AutoML for Text, Image, and Tabular Data

automl

Google Brain AutoML

aws-mlops-framework

The AWS MLOps Framework solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.

best-readme-template

An awesome README template to jumpstart your projects!

brainflow

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

clean-code-collection-books

Clean Code Collection books-写代码的艺术--但是也不能死读书，照搬理论实践

coding-interview-university

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

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cplusplus_qt5

data_structure

deap

Distributed Evolutionary Algorithms in Python

digitooth

dsmga-ii

elk_ai2

etude

evotorch

EvoTorch is an advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

example

Go example projects

flasksaas

A great starting point to build your SaaS in Flask & Python, with Stripe subscription billing 🚀

full-stack-fastapi-postgresql

Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.

ga_final

gather-tensorflow-serving

Gather how to deploy tensorflow models using nginx, hadoop, kafka, flask, gunicorn, socketio, docker swarm, luigi spotify, airflow, celery and so much more!

gif-h

Simple C++ one-header library for the creation of animated GIFs from image data.

jailhouse

Linux-based partitioning hypervisor

lawper

minutes-of-meeting-markdown

This is a general markdown template of minutes of meeting useful to help you get started quickly

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

ml2016

modelloader

A cli tool to load models based on Typer