7255 Open source projects that are alternatives of or similar to Skylift

Data Engineering on Google Cloud Platform

线性代数笔记

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

python tutorial

Repository for Open Source Mouse Firmware and Hardware

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

An introduction to data science in Python, for people with no programming experience.

Run any standard Python code quality tool on a Jupyter Notebook

Official Repo for Google Cloud AI Platform

Code for a workshop on statistical interference using computational methods in Python.

Taiwan's Weather Maps! 想查詢每個地方的天氣嗎！？藉由 Google Maps API 的地圖服務，以及中央氣象局網站的天氣預報，讓你快速輕鬆的查詢台灣 368 個鄉鎮的天氣概況！

Reference deployment of JupyterHub and nbgrader on a single server

基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

Implementing of the "A Neural Algorithm of Artistic Style"

My Own Car System, a Go & Qt application for your car

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

Russian language models for spaCy

A Repository of Notebooks for the Python Lecture Site

embedded-hal abstractions for AVR microcontrollers

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Epidemic Modeling for Everyone

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

FrSky SmartPort(S.Port), D-series, F.Port and TBS Crossfire telemetry on all Taranis and Horus transmitters

Optimization Examples with SigOpt

Experimental algorithms. Unsupported.

A version of the Lisp programming language for ATmega-based Arduino boards.

Code for my medium article

Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.

[ko] 패스트캠퍼스 강의 자료

Replaces original Tuya firmware on Beca thermostat with ESP8266 wifi module

A framework for ESP8266 & ESP32 microcontrollers with a React UI

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

爬虫+数据分析实战项目

Arduino library to facilitate time zone conversions and automatic daylight saving (summer) time adjustments.

RunCPM is a multi-platform, portable, Z80 CP/M 2.2 emulator.

A Julia package for Gaussian Processes

Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

Learn OpenCV : C++ and Python Examples

Representing research papers as vectors / latent representations.

A collection of IPython notebooks covering various topics.

FaceNet for face recognition using pytorch

A Deep Learning based project for colorizing and restoring old images (and video!)

A simpler version of the self-attention layer from SAGAN, and some image classification results.

点睛 - 头条号文章标题生成工具 （Dianjing, AI to write Title for Articles）

Arduino code to brute force Macbook's 4-digit iCloud PINs

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

ESP32 Firebase RTDB Arduino Library

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

A crash course in six episodes for software developers who want to become machine learning practitioners.

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments