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Search results for jupyter notebook machine learning
jupyter-notebook
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machine-learning
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7,789 search results found
Ml For Beginners
⭐
48,809
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Tensorflow Examples
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42,312
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
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29,559
Google Research
Handson Ml
⭐
25,003
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Handson Ml2
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24,694
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Fastai
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23,942
The fastai deep learning library
Homemade Machine Learning
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21,220
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
100 Days Of Ml Code
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19,753
100-Days-Of-ML-Code中文版
Shap
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19,358
A game theoretic approach to explain the output of any machine learning model.
Dash
⭐
18,785
Data Apps & Dashboards for Python. No JavaScript Required.
Learnopencv
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18,631
Learn OpenCV : C++ and Python Examples
Fastbook
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18,391
The fastai book, published as Jupyter Notebooks
Pytorch Handbook
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17,988
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友
Recommenders
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15,792
Best Practices on Recommendation Systems
Screenshot To Code
⭐
13,991
A neural network that transforms a design mock-up into a static website.
Kubeflow
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12,615
Machine Learning Toolkit for Kubernetes
Deep Learning With Tensorflow Book
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11,864
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Python Machine Learning Book
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11,645
The "Python Machine Learning (1st edition)" book code repository and info resource
Ml Nlp
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10,874
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
Mml Book.github.io
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10,729
Companion webpage to the book "Mathematics For Machine Learning"
Ydata Profiling
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10,678
Create HTML profiling reports from pandas DataFrame objects
Dopamine
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10,061
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Mit Deep Learning
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9,328
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Numerical Linear Algebra
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9,325
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Haystack
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8,999
🔍 Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.
Computervision Recipes
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8,950
Best Practices, code samples, and documentation for Computer Vision.
Tensorflow Tutorials
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8,644
TensorFlow Tutorials with YouTube Videos
Amazon Sagemaker Examples
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8,431
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Leedl Tutorial
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7,831
《李宏毅深度学习教程》,PDF下载地址:https://github.com/datawhalech
Deeplearning
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7,463
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Pytorch Tutorial
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7,372
Build your neural network easy and fast, 莫烦Python中文教学
Pycaret
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7,360
An open-source, low-code machine learning library in Python
Machine Learning For Trading
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7,237
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Facets
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7,131
Visualizations for machine learning datasets
Mlops Zoomcamp
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7,125
Free MLOps course from DataTalks.Club
Training Data Analyst
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6,795
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
H2o 3
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6,297
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Ai For Beginners
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6,230
12 Weeks, 24 Lessons, AI for All!
Tensorflow_cookbook
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6,085
Code for Tensorflow Machine Learning Cookbook
Industry Machine Learning
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6,077
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Mlbookcamp Code
⭐
6,028
The code from the Machine Learning Bookcamp book and a free course based on the book
Python Machine Learning Book 2nd Edition
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5,944
The "Python Machine Learning (2nd edition)" book code repository and info resource
Swift
⭐
5,940
Swift for TensorFlow
Docs
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5,775
TensorFlow documentation
Pyprobml
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5,644
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Tensorflow 2.x Tutorials
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5,496
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
T81_558_deep_learning
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5,408
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Skorch
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5,164
A scikit-learn compatible neural network library that wraps PyTorch
Data Analysis And Machine Learning Projects
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4,836
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Edward
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4,503
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Machine Learning Mindmap
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4,400
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Interpretable Ml Book
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4,389
Book about interpretable machine learning
Feast
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4,352
Feature Store for Machine Learning
Lucid
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4,232
A collection of infrastructure and tools for research in neural network interpretability.
Pytorch Deep Learning
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4,159
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Deeplearningproject
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4,043
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Machinelearning
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4,030
My blogs and code for machine learning. http://cnblogs.com/pinard
Machine_learning_complete
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3,985
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Pattern_classification
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3,926
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Probability
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3,917
Probabilistic reasoning and statistical analysis in TensorFlow
Python Machine Learning Book 3rd Edition
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3,897
The "Python Machine Learning (3rd edition)" book code repository
Orchest
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3,867
Build data pipelines, the easy way 🛠️
Nlpaug
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3,825
Data augmentation for NLP
Machine_learning_basics
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3,754
Plain python implementations of basic machine learning algorithms
Datascience
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3,751
Curated list of Python resources for data science.
Islr Python
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3,742
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Data Science
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3,710
Collection of useful data science topics along with articles, videos, and code
Machinelearningnotebooks
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3,695
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Tensorflow Docs
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3,685
TensorFlow 最新官方文档中文版
Gophernotes
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3,544
The Go kernel for Jupyter notebooks and nteract.
Tsai
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3,495
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Evidently
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3,473
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
Artline
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3,349
A Deep Learning based project for creating line art portraits.
Gpu Puzzles
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3,348
Solve puzzles. Learn CUDA.
Polyaxon
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3,323
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Adanet
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3,309
Fast and flexible AutoML with learning guarantees.
Course Nlp
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3,271
A Code-First Introduction to NLP course
Scikit Learn Videos
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3,180
Jupyter notebooks from the scikit-learn video series
Ploomber
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3,083
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Lstm Human Activity Recognition
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3,074
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Tensorwatch
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3,068
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Dreambooth Stable Diffusion
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2,868
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
Ml Notebooks
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2,818
🔥 Machine Learning Notebooks
Ml Workspace
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2,816
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Machine Learning With Python
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2,712
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Deepchecks
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2,699
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Deep Learning Book
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2,650
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Ranking
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2,633
Learning to Rank in TensorFlow
Qbot
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2,550
[🔥updating ...] 自动量化交易机器人 Qbot is an AI-oriented quantitative investment platform, which aims to realize the potential, empower AI technologies in quantitative investment. https://ufund-me.github.io/Qbot :news: qbot-mini: https://github.com/Charmve/iQuant
God Level Data Science Ml Full Stack
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2,545
A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI
Forecasting
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2,540
Time Series Forecasting Best Practices & Examples
Dtreeviz
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2,532
A python library for decision tree visualization and model interpretation.
Pai
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2,509
Resource scheduling and cluster management for AI
Flaml
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2,491
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Yolov3 Tf2
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2,480
YoloV3 Implemented in Tensorflow 2.0
Python Is Cool
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2,468
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
Course Content
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2,407
NMA Computational Neuroscience course
Notebooks
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2,366
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
Ml Tutorial Experiment
⭐
2,352
Coding the Machine Learning Tutorial for Learning to Learn
Fun Rec
⭐
2,342
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/f
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