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Search results for neural network scikit learn
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scikit-learn
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53 search results found
Data Science Ipython Notebooks
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25,668
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Handson Ml
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25,036
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Onnx
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16,275
Open standard for machine learning interoperability
Onnxruntime
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11,668
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Python Machine Learning Book
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11,645
The "Python Machine Learning (1st edition)" book code repository and info resource
Machine_learning_complete
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4,296
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Pipeline
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4,158
PipelineAI
Artificial Intelligence Deep Learning Machine Learning Tutorials
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3,436
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Hummingbird
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3,268
Hummingbird compiles trained ML models into tensor computation for faster inference.
Ml Workspace
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3,197
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Igel
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3,037
a delightful machine learning tool that allows you to train, test, and use models without writing code
Machine Learning With Python
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2,980
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Mljar Supervised
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2,867
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Data Science Best Resources
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2,718
Carefully curated resource links for data science in one place
Machine Learning Book
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2,474
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Hyperlearn
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1,387
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Windows Machine Learning
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945
Samples and Tools for Windows ML.
Scikit Learn Doc Cn
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711
scikit-learn机器学习库中文文档翻译项目
Datacamp Python Data Science Track
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655
All the slides, accompanying code and exercises all stored in this repo. 🎈
Hyperparameter_hunter
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635
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Emlearn
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327
Machine Learning inference engine for Microcontrollers and Embedded devices
Thesemicolon
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312
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Scikit And Tensorflow Workbooks
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292
based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
Handson Ml2
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287
핸즈온 머신러닝 2/E의 주피터 노트북
Handson Ml
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277
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Shallowlearn
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196
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
Arabic Ocr
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192
OCR system for Arabic language that converts images of typed text to machine-encoded text.
Hep_ml
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163
Machine Learning for High Energy Physics.
Lamda Ssl
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130
30 Semi-Supervised Learning Algorithms
Sunstreaker
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126
以jax为后端的类似keras的框架
Hands On Machine Learning With Scikit Learn Keras And Tensorflow
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97
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
Ml_code
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94
A repository for recording the machine learning code
Python Machine Learning Book 3rd Edition
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93
<머신 러닝 교과서 3판>의 코드 저장소
Ztdl Masterclasses
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80
Crabnet
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65
Predict materials properties using only the composition information!
Do It Dl
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61
<Do it! 딥러닝 입문> 도서의 주피터 노트북
Imodelsx
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60
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
Machine Learning In Python Workshop
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54
My workshop on machine learning using python language to implement different algorithms
Python Machine Learning Book 2nd Edition
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54
<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소
Tf Speech Recognition Challenge Solution
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53
Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recogn The solution ranked in top 5% in private leaderboard.
Human Activity Recognition Using Recurrent Neural Nets Rnn Lstm And Tensorflow On Smartphones
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46
This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to
Muffnn
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42
Multilayer Feed-Forward Neural Network predictive model implementations with TensorFlow and scikit-learn
The Deep Learning With Keras Workshop
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40
An Interactive Approach to Understanding Deep Learning with Keras
Fieldrnn
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39
Temporal Vegetation Classification with Recurrent Neural Networks
Kaggle For Fun
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38
All my submissions for Kaggle contests that I have been, and going to be participating.
Python Machine Learning
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37
Python Machine Learning Algorithms
Augmented Interpretable Models
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35
Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
Machine Learning
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31
The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
Deep_learning_projects
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28
Rbm_dbn
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27
Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
Spotify_song_recommender
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24
This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
Ai Ml Notes
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20
A collection of AI/ML articles, guides and projects.
Handson Ml3
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20
<핸즈온 머신러닝 3판>의 주피터 노트북 저장소
Project_mym
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19
Combined computer vision techniques and convolutional neural networks to accurately classify chess pieces and identified their location on a chessboard. Tools: Python, Google Cloud, Keras, TensorFlow, OpenCV, Pillow, Scikit-learn, NumPy, Seaborn, and others
Paruluniversityai
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18
Artificial Intelligence Course at Parul University taught in Spring 2023 by Mr Smaranjit Ghose
Machinelearning
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17
Implementations of machine learning algorithm by Python 3
Dlime_experiments
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16
In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
Cryptocurrency Prediction With Artificial Intelligence V3.0 Gru Neural Network
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15
Cryptocurrency Prediction with Artificial Intelligence V3.0 [GRU Neural Network]
Tariq Ml Models
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14
This repository contains all my implemented Machine Learning and Deep Learning projects. All my learning from different books and the internet is reflected here. The models are trained on a variety of problems including NLP, CV and other domains. The main focus of this repository is to showcase my learning journey and the projects I have worked on.
Multi Camera People Tracking
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14
Multi-camera people tracking is to monitoring people with multiple cameras and connecting each other
Introduction To Neural Networks
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13
Virtual Voice Assistant
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12
Virtual Voice Assistant is a project that utilizes machine learning and natural language processing to enable users to control their devices using voice commands. Technologies used include TensorFlow, Keras, various Python libraries and RESTful APIs.
Reddittextclassification
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12
Reddit Gender Text-Classification.
Rookieml
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12
A collection of notebooks explaining basic machine learning concepts
Keras2sql
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12
Deep Learning (Keras) Models Deployment using SQL databases
Ignition
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9
PyTorch helper code
Research Paper Summarization
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9
Text Summarization for Research Papers
Self_driving_car
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9
Neural network/Haar cascade trained self-driving RC car using Raspberry Pi
Stock Price Predictor
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9
Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.
Hornburg
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8
🔧 Crawling the history of deep learning with Python.
Deepsent
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8
DeepSent: Music Sentiment Analysis using Machine Learning Models
Timeseries Lstm Keras
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8
Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras base on tutorial of Jason Brownlee
Sckitlearn
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7
Exercise files for Python SciKit Learn Machine Learning Training
Stochannpy
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7
StochANNPy (STOCHAstic Artificial Neural Network for PYthon) provides user-friendly routines compatible with Scikit-Learn for stochastic learning.
Findkit
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7
A Python library for content-based information retrieval
Cheatsheets
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7
Here you find CheatSheets for Data Science Topics
Pysinn
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6
Shepard Interpolation Neural Network - Theano and Keras implementation
Mla_sani
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6
Yet another ml from scratch.
Deep Learning For Data Science
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6
Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders
Nba Draft Model 2018
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6
Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.
Cheatsheets
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6
This repo contains all the cheatsheets that I found Important.
Studyml
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6
Just do It!
Strava Wind Analysis Ml
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5
Machine learning backend for Strava Wind Analysis site
Machine Learning Practice
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5
Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.
Machine Learning Python Bootcamp
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5
Basic exercises on Machine Learning with Python , Reference Book : Python for Probability, Statistics, and Machine Learning by José Unpingco
Phishing Websites Detection
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5
Experiments to detect phishing websites using neural networks
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1-53 of 53 search results
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