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Deep Learning for humans
scikit-learn: machine learning in Python
Ml For Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Made With Ml
Learn how to responsibly develop, deploy and maintain production machine learning applications.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
Streamlit — A faster way to build and share data apps.
Data Science Ipython Notebooks
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.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Ai Expert Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
Deep learning framework to train, deploy, and ship AI products Lightning fast.
Ml From Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
📝 An awesome Data Science repository to learn and apply for real world problems.
The fastai book, published as Jupyter Notebooks
Create UIs for your machine learning model in Python in 3 minutes
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
Best Practices on Recommendation Systems
Topic Modelling for Humans
Awesome Pytorch List
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Best Of Ml Python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Your new Mentor for Data Science E-Learning.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
500 Ai Machine Learning Deep Learning Computer Vision Nlp Projects With Code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Python Machine Learning Book
The "Python Machine Learning (1st edition)" book code repository and info resource
🦉 Data Version Control | Git for Data & Models | ML Experiments Management
Create HTML profiling reports from pandas DataFrame objects
Stanford Cs 229 Machine Learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Ml Youtube Courses
📺 Discover the latest machine learning / AI courses on YouTube.
A curated list of references for MLOps
Deep learning library featuring a higher-level API for TensorFlow.
Mit Deep Learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Numerical Linear Algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Data-centric declarative deep learning framework
Best Practices, code samples, and documentation for Computer Vision.
Open Machine Learning Course
Amazon Sagemaker Examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Data Science Interviews
Data science interview questions and answers
An open-source, low-code machine learning library in Python
A collection of machine learning examples and tutorials.
Machine Learning For Trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Python Small Examples
告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 Python中文网 http://www.zglg.work
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Cookiecutter Data Science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
🚀 Build and manage real-life data science projects with ease!
An open source python library for automated feature engineering
A unified framework for machine learning with time series
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Py tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
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.
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Industry Machine Learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Data Science Blogs
A curated list of data science blogs
Machine Learning Roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Python Machine Learning Book 2nd Edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
A python library for user-friendly forecasting and anomaly detection on time series.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
Statistical Machine Intelligence & Learning Engine
A system for quickly generating training data with weak supervision
Ml Course Notes
🎓 Sharing machine learning course / lecture notes.
Learn Data Science For Free
This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.
Data Analysis And Machine Learning Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Serenata De Amor
🕵 Artificial Intelligence for social control of public administration
Feature Store for Machine Learning
Simple and Distributed Machine Learning
🌊 Online machine learning in Python
🍊 📊 💡 Orange: Interactive data analysis
Data Science Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Relax! Flux is the ML library that doesn't make you tensor
List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для программистов
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Ml Papers Of The Week
🔥Highlighting the top ML papers every week.
Probabilistic reasoning and statistical analysis in TensorFlow
Build data pipelines, the easy way 🛠️
Data augmentation for NLP
Aim 💫 — An easy-to-use & supercharged open-source AI metadata tracker (experiment tracking, AI agents tracing)
Curated list of Python resources for data science.
♾️ CML - Continuous Machine Learning | CI/CD for ML
Collection of useful data science topics along with articles, videos, and code
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Probabilistic time series modeling in Python
The Go kernel for Jupyter notebooks and nteract.
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
Start Machine Learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2023 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
A Code-First Introduction to NLP course
Java dataframe and visualization library
Machine Learning Pipelines for Kubeflow
Scikit Learn Videos
Jupyter notebooks from the scikit-learn video series
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
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