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73 search results found

Handson Ml ⭐ 25,036

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Onnx ⭐ 16,275

Open standard for machine learning interoperability

Bosssensor ⭐ 5,880

Hide screen when boss is approaching.

Yellowbrick ⭐ 4,102

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Ml Workspace ⭐ 3,197

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Dtreeviz ⭐ 2,720

A python library for decision tree visualization and model interpretation.

Elyra ⭐ 1,721

Elyra extends JupyterLab with an AI centric approach.

Osim Rl ⭐ 695

Reinforcement learning environments with musculoskeletal models

Reversi Alpha Zero ⭐ 634

Reversi reinforcement learning by AlphaGo Zero methods.

Examples and libraries for "Natural Language Processing in Action" book

Sars_tutorial ⭐ 308

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

Healthcareai Py ⭐ 225

Python tools for healthcare machine learning

Flask_api ⭐ 165

Creating a Machine Learning API using Flask - Repository for AV Article

Bestpractices ⭐ 142

Things that you should (and should not) do in your Materials Informatics research.

Statistics For Machine Learning ⭐ 132

Statistics for Machine Learning, published by Packt

Ubuntu Setup Scripts ⭐ 110

Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data Science or AI!

Learn Ml Basics ⭐ 81

A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the resources I found most useful.

Predict materials properties using only the composition information!

[ICCV 2015] Framework for optimizing CNNs with linear constraints for Semantic Segmentation

Bigdataanalytics_infoh515 ⭐ 56

Material for the Big Data Analytics exercise classes - INFOH515 - Big Data : Distributed Data Management and Scalable Analytics - Université Libre de Bruxelles

Manning_tf2_in_action ⭐ 44

The official code repository for "TensorFlow in Action" by Manning.

Tf Reco Workshop ⭐ 43

Deep Learning with TensorFlow Workshop 1 - Recommender System

Ml Tutorial ⭐ 42

Quant Library ⭐ 41

α collection of resources for people interested in quant finance

Pytorch Timeseries ⭐ 40

PyTorch implementations of neural networks for timeseries classification

Machinelearning ⭐ 35

Machine learning models and related examples

Social Distancing And Face Mask Detection ⭐ 34

Social Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement

Juliatorch ⭐ 30

Using PyTorch in Julia Language

Computational Analysis of Novel Drug Opportunities

Ml Classification Algorithms Poverty ⭐ 29

A comparative assessment of machine learning classification algorithms applied to poverty prediction

Crypto Predict ⭐ 29

A dockerized prediction API for crypto.

Workshops_ml_2018 ⭐ 28

Machine Learning hands-on exercises (March-June 2018)

Machine Learning For Opencv ⭐ 28

Machine Learning for OpenCV, published by Packt

Dbcollection ⭐ 27

A collection of popular datasets for deep learning.

Neuralxc ⭐ 24

Implementation of a machine learned density functional

Machine Learning Capstone Project ⭐ 22

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

Car Damage Detector ⭐ 22

Code example demonstrating how to detect damage intensity of a damaged car using deep learning

Deep_bait ⭐ 22

Running the most popular deep learning frameworks on Azure Batch AI

Nlp_classification_workshop ⭐ 20

NLP Classification Workshop

Calibrated Boosting Forest ⭐ 19

Original implementation of Calibrated Boosting-Forest

Pytrader ⭐ 19

System Trading using Kiwoom OpenAPI+

Learning And Experimenting_data Science ⭐ 18

Journey through data analysis

The Centrifuge process, filter and saves the relevant documents as recommendations to the relevant users

Deeplearning ⭐ 17

deeplearning tour

This are the steps I took into Machine Learning

Tf_intro_notebooks ⭐ 16

Notebooks for introductory lessons for learning TensorFlow 1.2 and Machine Learning

Turicreate Notebooks ⭐ 15

Demonstrating how to create custom Core ML models 👾🤖

Ubuntu20_auto_ml_dl_environ ⭐ 14

Ubuntu auto-enviroment

Dictlearn ⭐ 14

Dictionary Learning for image processing

Rootnav 2.0 ⭐ 12

Plant Phenotyping APP

Beginner Track Fall 18 ⭐ 12

Repository for ACM AI's Intro to ML: Beginner Track series during the Fall of 2018

Constraining Dark Matter With Stellar Streams And Ml ⭐ 11

Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.

Ml_workshop ⭐ 11

Machine learning workshop materials

Pcprophet ⭐ 11

Framework for systematic discovery of novel complexes and differential analysis of cofractionation MS datasets

Parallelgso ⭐ 11

A highly scalable parallel version of Galactic Swarm Optimisation Algorithm

Tf_text_classify ⭐ 11

The classic movies redux with machine learning using TensorFlow and Keras.

Ua Ece 523 Sp2018 ⭐ 11

🍎Wende Chinese QA system (experimental)

Resources For Python ⭐ 10

Hi, This is my open-sourced roadmap/resource guide for Python. Please Feel free to contribute!

Data Umbrella 2020 Streamlit Ml ⭐ 9

Python_tutorials ⭐ 9

Introduction to python for data science and machine learning

Computer Vision With Python ⭐ 9

Image Processing and Deep Learning for Computer Vision

Ml_workshop_udacity ⭐ 9

ML Workshops @ Udacity

Udacity Deep Learning Nanodegree ⭐ 8

The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.

Aind Recognizer ⭐ 8

Fib Chatbot ⭐ 8

A chatbot developed to help FIB students. It uses both NLP and Machine Learning techniques to answer questions.

Gender Classification ⭐ 8

Gender Classification Machine Learning Model using Sk-learn in Python with 97%+ accuracy and deployment

Ma2823_2017 ⭐ 7

Introduction to Machine Learning at CentraleSupelec (Fall 2017)

Tu Etp Ad1062 ⭐ 7

Sample code and homework material for Trend Micro ETP Machine Learning Fundamental training course (2019 R1)

Netflixpauser ⭐ 7

Pause Netflix when you leave your computer 📺

A computer vision tool that protects children's video identities during online video conferencing with anonymizing snapchat-like filters and face recognition tracking. It's a different kind of mask, a fun one! 🐢

Asynch Mb ⭐ 6

Asynchronous methods for model-based reinforcement learning.

Machine learning methods for the prediction of pathology in protein mutations, as in the PMut predictor.

Diagnosisextraction_ml ⭐ 6

Pipeline for building Machine Learning Classifiers for the diagnosis of EHR text-data. We used this pipeline for our study, published here: https://doi.org/10.2196/23930.

Docker Spark Anaconda ⭐ 5

Spark and Anaconda in Docker

Machine Learning ⭐ 5

Grab all the concepts(theory as well as assignments) which help you to have deep understanding about Machine Learning using Python ✨

Machinelearning Docker ⭐ 5

Ml Pipeline ⭐ 5

A Python Machine Learning Pipeline to predict software defects in java projects

Osx Dev Setup ⭐ 5

Scripts to use for setup development environment on Mac OS X

Machine Learning ⭐ 5

In this repository, I have written about my experiences in studying Machine learning. Also, I have included the solutions of some Machine learning exercises and my educational projects.

Machine Learning With Python ⭐ 5

RUN data-set for learning navigation

Carnd Tensorflow Lab ⭐ 5

Simple hello world example which shows how to write a convolutional neural network in TensorFlow

Backpropagation Neural Network For Multivariate Time Series Forecasting ⭐ 5

Backpropagation Neural Network for Multivariate Time Series Forecasting (multi input single output: 2 inputs and 1 output)

Bertphone ⭐ 5

Implementation of the paper "BERTphone: Phonetically-aware Encoder Representations for Utterance-level Speaker and Language Recognition"

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