71 Components & Libraries
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✅ No tracking server required ✅ Upload and version all your models ✅ Manage models by domains and states ✅ Download or load straight into memory ✅ Use as a command line tool Is there a machine learni…
Machine learning for microcontroller and embedded systems. Train in Python, then do inference on any device with a C99 compiler. Embedded-friendly Inference Convenient Training Supporting libraries C…
A neural networks toolbox with a focus on medical image analysis in tensorflow/keras for now. If you use this code, please cite: If you are using any of the sparse/imputation functions, please cite:
Simple ML and NN methods for those looking to learn new techniques for stock prediction. These examples are meant to be easy to understand and highlight the essential components of each method. Examp…
We appreciate your interest in our work and trying out our code. We've noticed several cases where incorrect configuration leads to poor performance of detection and mitigation. If you also observe l…
2016년 겨울방학 중앙대학교 Python 기초과목 구글 파이썬 스타일 가이드로 시작하는 프로그래밍 Ver 1.1.1 (Last Update 2018-06-14) 본 Repository는 GPL-3.0 라이센스를 따릅니다. 상업적, 교육용, 개인적인 사용이 가능합니다. 자세한 라이센스 제약사항은 본 글 하단을 참조하세요. 강의 슬라이드는 복습 =&g…
All of the Keras built in models are made available: This project has the following dependencies: The only thing you have to do to get started is set up the folders in the following structure:
Qlik's advanced analytics integration provides a path to making modern data science algorithms accessible to the wider business audience. This project is an attempt to show what's possible. This repo…
Check out corresponding Medium article: Structure your data as follows: For binary classifications you are good to go! For non-binary classifications:
The work is splited into 4 steps : Copyright © 2021 Robin Reni. All rights reserved
Collection of Python notebooks for various machine learning, deep learning and analytics use cases Welcome to the GitHub tutorial directory of the relataly.com blog on business use cases with python …
Allie is a framework for building machine learning models from audio, text, image, video, or .CSV files. Intended for both beginners and experts, Allie is designed to be easy-to-use for rapid prototy…
This contains a set of linux setup scripts consolidated from across the web to make it easy to set up a new computer for robotics and deep learning, with links to the original sources and brief descr…
This repository contains some of the code I use in Kaggle data science/machine learning tasks. Where appliciable I keep all the code/data from a single competition within one a folder. i.e. 'californ…
My workshop on machine learning using python language to implement different algorithms (University of Tabriz, Iran, 2017).
I am a Data Scientist and I code in R, Python and Wolfram Mathematica. Here you will find some Machine Learning, Deep Learning, Natural Language Processing and Artificial Intelligence models I develo…
The sit-up is an abdominal endurance training exercise to strengthen, tighten and tone the abdominal muscles. It is similar to a crunch, but sit-ups have a fuller range of motion and condition additi…
Used Convolutional neural networks (CNN) for facial expression recognition . The goal is to classify each facial image into one of the seven facial emotion categories considered . Python 2.7, sklearn…
Machine Learning based agent, helps to enable business automation. Technology: TensorFlow, Keras, Flask, Python, Node.js, JavaScript Author: Katana, Red Samurai Consulting, Andrejus Baranovskis Insta…
Loose path: Understanding Math is pivotal. You can never be a good Machine Learning Scientistby skipping the Math. Python - Any one, both courses are equally good Algorithms Since you'll be coding a …
Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization. This repo contains various Python Jupyter n…
Imagine speeding up research for almost every disease, from lung cancer and heart disease to rare disorders. The 2018 Data Science Bowl offers our most ambitious mission yet: create an algorithm to…
This is the Official Repository of Xtreme-Vision. Xtreme-Vision is a High Level Python Library which is built with simplicity in mind for Computer Vision Tasks, such as Object-Detection, Human-Pose-E…
This repository contains implementations of multiple deep learning models (U-Net, FCN32 and SegNet) for multiclass semantic segmentation of the CamVid dataset
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