Terence Liu (NumberChiffre)

NumberChiffre

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Terence Liu's repositories

ai-getting-started

A Javascript AI getting started stack for weekend projects, including image/text models, vector stores, auth, and deployment configs

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badges

:pencil: Markdown code for lots of small badges :ribbon: :pushpin: (shields.io, forthebadge.com etc) :sunglasses:. Contributions are welcome! Please add yours!

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Best-README-Template

An awesome README template to jumpstart your projects!

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coinbase-exchange-order-book

Real-time Coinbase Exchange (GDAX) order book + basic market maker bot

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Deep-Learning-Project-Template

A best practice for deep learning project template architecture.

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codecov-action

GitHub Action that uploads coverage to Codecov :open_umbrella:

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emoji-cheat-sheet

A markdown version emoji cheat sheet

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example-python

Python coverage example

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Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects

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Gaussian-Process

Implementing a Gaussian Process regression model from scratch

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ILearnDeepLearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

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lightning

Deep learning framework to train, deploy, and ship AI products Lightning fast.

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lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

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logseq

A privacy-first, open-source platform for knowledge management and collaboration. Desktop app download link: https://github.com/logseq/logseq/releases, roadmap: https://trello.com/b/8txSM12G/roadmap

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markdown

Learn how to use Markdown

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markdown-content

Markdown content for the www.aerobatic.io website

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markdown-licenses

A collection of open source licenses in Markdown format. Contributions are always welcome!

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markdown-template

A markdown template for any project, resume, github repo or whatever

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monolith

ByteDance's Recommendation System

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neurips2020-flatland-baselines

NeurIPS 2020 Flatland Challenge baselines

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qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

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ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

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TypeScript-Node-Docker

TypeScript + Node + Docker setup for dev and prod with hot reloading

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