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dualnback-1

An implementation of Dual N Back in the Elm programming language.

flask-introduction

Step by step Flask Tutorial

flask-vuejs-tutorial

A tutorial to integrate Vue.js with flask

freqtrade

Simple High Frequency Trading Bot for crypto currencies

freqtrade-strategies

Free trading strategies for Freqtrade bot

full-stack

gopl-zh.github.com

Go语言圣经中文版(只接收PR, Issue请提交到golang-china/gopl-zh)

hands-on-machine-learning

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

heron

Heron is a realtime, distributed, fault-tolerant stream processing engine from Twitter

human_body_science_and_modern_technology

hume

BBN's machine reading system for DARPA World Modelers.

hypersearch

Hyerparameter Optimization for PyTorch

imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

inclass

In class code examples.

interviewquestions

This is a collection of DS, AI, ML, DL, NLP, Computer Vision job interview questions.

jekyll-serif-theme

Serif is a beautiful business theme for Jekyll.

jupyter-themer

Apply custom CSS styling to your jupyter notebooks

keep-a-changelog

If you build software, keep a changelog.

knn

机器学习实战

leetcode

llama-recipes

Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger

llama-v2-mps

Llama 2 (Llama-v2) fork for Apple M1/M2 MPS

llms-interview-questions

🟣 LLMs interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

mace

Mobile AI Compute Engine

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

machinelearninginaction3x

Source Code for Machine Learning in Action for Python 3.X

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

mobike-crawler

摩拜单车爬虫

mobile-deep-learning

This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722