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jupyter-notebook x

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4,089 search results found

Tensorflow Examples ⭐ 43,109

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Annotated_deep_learning_paper_implementations ⭐ 41,877

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Google Research ⭐ 32,006

Google Research

Handson Ml2 ⭐ 26,122

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 ⭐ 25,112

The fastai deep learning library

Handson Ml ⭐ 25,036

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

Homemade Machine Learning ⭐ 21,542

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

100 Days Of Ml Code ⭐ 20,750

100-Days-Of-ML-Code中文版

Dash ⭐ 19,976

Data Apps & Dashboards for Python. No JavaScript Required.

Learnopencv ⭐ 19,864

Learn OpenCV : C++ and Python Examples

Fastbook ⭐ 19,737

The fastai book, published as Jupyter Notebooks

Llm Course ⭐ 18,955

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Pytorch Handbook ⭐ 18,594

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 ⭐ 17,972

Best Practices on Recommendation Systems

Mojo ⭐ 16,585

The Mojo Programming Language

Screenshot To Code ⭐ 14,132

A neural network that transforms a design mock-up into a static website.

Kubeflow ⭐ 13,364

Machine Learning Toolkit for Kubernetes

Haystack ⭐ 12,474

🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

Mml Book.github.io ⭐ 12,032

Companion webpage to the book "Mathematics For Machine Learning"

Ydata Profiling ⭐ 11,983

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Deep Learning With Tensorflow Book ⭐ 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 ⭐ 11,645

The "Python Machine Learning (1st edition)" book code repository and info resource

Ml Nlp ⭐ 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。

Fingpt ⭐ 10,376

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.

Dopamine ⭐ 10,248

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Mit Deep Learning ⭐ 9,897

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Numerical Linear Algebra ⭐ 9,850

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Machine Learning For Trading ⭐ 9,469

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Computervision Recipes ⭐ 9,225

Best Practices, code samples, and documentation for Computer Vision.

Amazon Sagemaker Examples ⭐ 9,221

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Leedl Tutorial ⭐ 8,682

《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalech

Tensorflow Tutorials ⭐ 8,644

TensorFlow Tutorials with YouTube Videos

Mlops Zoomcamp ⭐ 8,173

Free MLOps course from DataTalks.Club

Pycaret ⭐ 8,130

An open-source, low-code machine learning library in Python

Deeplearning ⭐ 7,463

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Pytorch Tutorial ⭐ 7,372

Build your neural network easy and fast, 莫烦Python中文教学

Training Data Analyst ⭐ 7,297

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

H2o 3 ⭐ 6,618

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.

Pytorch Deep Learning ⭐ 6,495

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Tensorflow_cookbook ⭐ 6,085

Code for Tensorflow Machine Learning Cookbook

Industry Machine Learning ⭐ 6,077

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Pyprobml ⭐ 6,066

Python code for "Probabilistic Machine learning" book by Kevin Murphy

TensorFlow documentation

Python Machine Learning Book 2nd Edition ⭐ 5,944

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

Swift ⭐ 5,940

Swift for TensorFlow

Data Analysis And Machine Learning Projects ⭐ 5,596

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

T81_558_deep_learning ⭐ 5,590

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Tensorflow 2.x Tutorials ⭐ 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。

Feast ⭐ 5,053

Feature Store for Machine Learning

[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

Interpretable Ml Book ⭐ 4,536

Book about interpretable machine learning

Edward ⭐ 4,503

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Machine Learning Mindmap ⭐ 4,400

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

Evidently ⭐ 4,348

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

Machine_learning_complete ⭐ 4,296

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

Lucid ⭐ 4,232

A collection of infrastructure and tools for research in neural network interpretability.

Pattern_classification ⭐ 4,052

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Deeplearningproject ⭐ 4,043

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

Machinelearning ⭐ 4,030

My blogs and code for machine learning. http://cnblogs.com/pinard

Probability ⭐ 4,028

Probabilistic reasoning and statistical analysis in TensorFlow

Datascience ⭐ 3,955

Curated list of Python resources for data science.

Data Science ⭐ 3,898

Collection of useful data science topics along with articles, videos, and code

Python Machine Learning Book 3rd Edition ⭐ 3,897

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

Orchest ⭐ 3,876

Build data pipelines, the easy way 🛠️

Machinelearningnotebooks ⭐ 3,832

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Nlpaug ⭐ 3,825

Data augmentation for NLP

Gophernotes ⭐ 3,766

The Go kernel for Jupyter notebooks and nteract.

Machine_learning_basics ⭐ 3,754

Plain python implementations of basic machine learning algorithms

Islr Python ⭐ 3,742

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Tensorflow Docs ⭐ 3,685

TensorFlow 最新官方文档中文版

Notebooks ⭐ 3,677

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.

Flaml ⭐ 3,500

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

Polyaxon ⭐ 3,438

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

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

Artline ⭐ 3,349

A Deep Learning based project for creating line art portraits.

Tensorwatch ⭐ 3,333

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Ploomber ⭐ 3,318

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

Adanet ⭐ 3,309

Fast and flexible AutoML with learning guarantees.

Course Nlp ⭐ 3,271

A Code-First Introduction to NLP course

Deepchecks ⭐ 3,206

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.

Ml Workspace ⭐ 3,197

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

Scikit Learn Videos ⭐ 3,180

Jupyter notebooks from the scikit-learn video series

Practicalai Cn ⭐ 3,150

AI实战-practicalAI 中文版

Dreambooth Stable Diffusion ⭐ 3,113

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.

Lstm Human Activity Recognition ⭐ 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

Ml Notebooks ⭐ 2,818

🔥 Machine Learning Notebooks

Dtreeviz ⭐ 2,720

A python library for decision tree visualization and model interpretation.

Ranking ⭐ 2,666

Learning to Rank in TensorFlow

Deep Learning Book ⭐ 2,650

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

Ailearning Theory Applying ⭐ 2,637

快速上手Ai理论及应用实战：基础知识、ML、DL、NLP-BERT、竞赛。含大量注释及数据集，力求每

✔（已完结）最全面的深度学习笔记【土堆 Pytorch】【李沐动手学深度学习】【吴恩达深度学习】

Machine Learning ⭐ 2,607

🌎 machine learning tutorials (mainly in Python3)

Resource scheduling and cluster management for AI

Hdbscan ⭐ 2,569

A high performance implementation of HDBSCAN clustering.

Shapash ⭐ 2,547

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Forecasting ⭐ 2,540

Time Series Forecasting Best Practices & Examples

Course Content ⭐ 2,527

NMA Computational Neuroscience course

Yolov3 Tf2 ⭐ 2,501

YoloV3 Implemented in Tensorflow 2.0

Machine Learning Book ⭐ 2,474

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Python Is Cool ⭐ 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.

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