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151 search results found

100 Days Of Ml Code ⭐ 42,417

100 Days of ML Coding

Ailearning ⭐ 38,107

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Data Science Ipython Notebooks ⭐ 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 ⭐ 25,036

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

Onnx ⭐ 16,275

Open standard for machine learning interoperability

Best Of Ml Python ⭐ 14,990

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Onnxruntime ⭐ 11,668

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Autogluon ⭐ 7,109

Fast and Accurate ML in 3 Lines of Code

Python Machine Learning Book 2nd Edition ⭐ 5,944

The "Python Machine Learning (2nd edition)" book code repository and info resource

Machine_learning_complete ⭐ 4,296

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Python Machine Learning Book 3rd Edition ⭐ 3,897

The "Python Machine Learning (3rd edition)" book code repository

Flower ⭐ 3,545

Flower: A Friendly Federated Learning Framework

Flaml ⭐ 3,500

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Artificial Intelligence Deep Learning Machine Learning Tutorials ⭐ 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.

God Level Data Science Ml Full Stack ⭐ 3,384

A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

Ml Workspace ⭐ 3,197

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

Machine Learning With Python ⭐ 2,980

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Scikit Llm ⭐ 2,775

Seamlessly integrate LLMs into scikit-learn.

Data Science Best Resources ⭐ 2,718

Carefully curated resource links for data science in one place

Machine Learning Book ⭐ 2,474

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Awesome Python Data Science ⭐ 2,126

Probably the best curated list of data science software in Python.

Practical Machine Learning With Python ⭐ 2,054

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Data Science Complete Tutorial ⭐ 1,575

For extensive instructor led learning

Auto_ml ⭐ 1,442

[UNMAINTAINED] Automated machine learning for analytics & production

Hyperlearn ⭐ 1,387

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Traingenerator ⭐ 1,184

🧙 A web app to generate template code for machine learning

Machine Learning With Python ⭐ 1,155

Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

Alphapy ⭐ 1,003

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Windows Machine Learning ⭐ 945

Samples and Tools for Windows ML.

Nolearn ⭐ 939

Combines the ease of use of scikit-learn with the power of Theano/Lasagne

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

Kymatio ⭐ 691

Wavelet scattering transforms in Python with GPU acceleration

Deep Learning Wizard ⭐ 664

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

Hyperparameter_hunter ⭐ 635

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Neuraxle ⭐ 533

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

Amazing Feature Engineering ⭐ 485

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.

Hyperactive ⭐ 475

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Sklearn Evaluation ⭐ 447

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Blocklyml ⭐ 421

BlocklyML is a simple visual programming Tool for python and ML. 🧩 🖥️

Machine Learning Guide ⭐ 366

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Thesemicolon ⭐ 312

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Scalecast ⭐ 292

The practitioner's forecasting library

Scikit And Tensorflow Workbooks ⭐ 292

based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)

Deeplearning Cv Notes ⭐ 291

📓 deepleaning and cv notes.

Libfaceid ⭐ 290

libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.

Handson Ml2 ⭐ 287

핸즈온 머신러닝 2/E의 주피터 노트북

Handson Ml ⭐ 277

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Awesome Domain Adaptation Python Toolbox

Machine Learning ⭐ 206

Learn AI together, for free. AI learning and teaching resources for everyone.

Scikeras ⭐ 204

Scikit-Learn API wrapper for Keras.

Hg Mldl ⭐ 199

<혼자 공부하는 머신러닝+딥러닝>의 코드 저장소입니다.

Introduction_to_ml_with_python ⭐ 198

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

Handson Ml2 Vn ⭐ 164

Jupyter Notebook cung cấp các kiến thức cơ bản về Học Máy và Học Sâu bằng Python với Scikit-Learn, Keras, và TensorFlow 2.

Qlik Py Tools ⭐ 132

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Lamda Ssl ⭐ 130

30 Semi-Supervised Learning Algorithms

Sunstreaker ⭐ 126

以jax为后端的类似keras的框架

Ciencia De Dados ⭐ 106

Disciplina de Ciências de Dados da UNINOVE

Visualizations of machine learning models and algorithms

Hands On Machine Learning With Scikit Learn Keras And Tensorflow ⭐ 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

A repository for recording the machine learning code

PyMilo: Python for ML I/O

Python Machine Learning Book 3rd Edition ⭐ 93

<머신 러닝 교과서 3판>의 코드 저장소

Mloperator ⭐ 89

Machine Learning Operator & Controller for Kubernetes

Mindwave ⭐ 86

MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.

Arch Data Science ⭐ 83

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

Practicalmachinelearning ⭐ 79

A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source

Docker Python Deep Learning ⭐ 74

A container for Deep Learning with Python 3

Ml Starter Pack ⭐ 70

A collection of Machine Learning algorithms written from sctrach.

Mlatimperial2017 ⭐ 70

Materials for the course of machine learning at Imperial College organized by Yandex SDA

Hands On Ml ⭐ 69

Hands-On Machine Learning

Data Science And Machine Learning Projects Dojo ⭐ 67

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

Polyaxon Examples ⭐ 65

Code for tutorials and examples

Do It Dl ⭐ 61

<Do it! 딥러닝 입문> 도서의 주피터 노트북

Hypertune ⭐ 60

A library for performing hyperparameter optimization

Imodelsx ⭐ 60

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

Python Machine Learning Book 2nd Edition ⭐ 54

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

Machine Learning In Python Workshop ⭐ 54

My workshop on machine learning using python language to implement different algorithms

Tf Speech Recognition Challenge Solution ⭐ 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.

Py4chemoinformatics ⭐ 53

Python for chemoinformatics

Sklearn Deeprl ⭐ 51

Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.

Human Activity Recognition Using Recurrent Neural Nets Rnn Lstm And Tensorflow On Smartphones ⭐ 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

Autotabular ⭐ 45

Automatic machine learning for tabular data. ⚡🔥⚡

Tf_eeglearn ⭐ 43

A tensorflow implementation for EEGLearn

Recurrent Neural Network Pricing Model ⭐ 42

Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)

The Deep Learning With Keras Workshop ⭐ 40

An Interactive Approach to Understanding Deep Learning with Keras

Computer Vision ⭐ 39

Computer vision sabbatical study materials

Nlp_workshop_odsc_europe20 ⭐ 36

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.

Augmented Interpretable Models ⭐ 35

Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

Text Classification Cn ⭐ 33

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Kaggledatasets ⭐ 33

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

Data Science Learning ⭐ 32

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

Mlhandbook ⭐ 31

My textbook for teaching Machine Learning

Machine Learning ⭐ 31

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Notebooks ⭐ 30

A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:

Nostradamus ⭐ 30

🧠 An open-source machine learning application for analyzing software defect reports extracted from bug tracking systems.

Deep_learning_projects ⭐ 28

Hands On Machine Learning 2edition ⭐ 27

A jupyter notebook based on Scikit-Learn and TensorFlow 2.0 with Chinese comment that takes you through the basics of machine learning and deep learning in python with ease.

Gesture-controlled computer interactions using hand tracking

Chemotools ⭐ 24

Integrate your chemometric tools with the scikit-learn API 🧪 🤖

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