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Top 23 Python Data Science Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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Ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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SaaSHub
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pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
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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.
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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.
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d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
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nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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SaaSHub
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Keras
Project mention: How to Build a Logistic Regression Model: A Spam-filter Tutorial | dev.to | 2024-05-05Online Courses: Coursera: "Machine Learning" by Andrew Ng edX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By understanding the core concepts of logistic regression, its limitations, and exploring further resources, you'll be well-equipped to navigate the exciting world of machine learning!
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities.
Project mention: Developing a Generic Streamlit UI to Test Amazon Bedrock Agents | dev.to | 2024-05-05I decided to use Streamlit to build the UI as it is a popular and fitting choice. Streamlit is an open-source Python library used for building interactive web applications specially for AI and data applications. Since the application code is written only in Python, it is easy to learn and build with.
Project mention: Ray: Unified framework for scaling AI and Python applications | news.ycombinator.com | 2024-05-03
gradio is a package developed to ease the development of app interfaces in python and other languages (GitHub)
Project mention: How I discovered Named Entity Recognition while trying to remove gibberish from a string. | dev.to | 2024-05-06
Project mention: SB-1047 will stifle open-source AI and decrease safety | news.ycombinator.com | 2024-04-29It's very easy to get started, right in your Terminal, no fees! No credit card at all.
And there are cloud providers like https://replicate.com/ and https://lightning.ai/ that will let you use your LLM via an API key just like you did with OpenAI if you need that.
You don't need OpenAI - nobody does.
Project mention: How and where is matplotlib package making use of PySide? | /r/learnpython | 2023-12-07
Project mention: My kernel dies when I fit my LightFm model from Microsoft Recommenders | /r/Jupyter | 2023-06-16
If you’re already using ipython, this isn’t a problem because you’ll already need to download most of these dependencies anyway. But if you’re not using ipython… you’ll still need to download those dependencies.
Project mention: Prefect: A workflow orchestration tool for data pipelines | news.ycombinator.com | 2024-03-13
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python Data Science related posts
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Lessons learned reinventing the Python notebook
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AI Strategy Guide: How to Scale AI Across Your Business
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How I discovered Named Entity Recognition while trying to remove gibberish from a string.
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How to Build a Logistic Regression Model: A Spam-filter Tutorial
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"No" is not an actionable error message
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Cold-(Brew) Outreach: Landing my first big client at a coffee shop
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PySheets – Spreadsheet UI for Python
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A note from our sponsor - InfluxDB
www.influxdata.com | 17 May 2024
Index
What are some of the best open-source Data Science projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | Keras | 61,044 |
| 2 | scikit-learn | 58,265 |
| 3 | Pandas | 42,104 |
| 4 | Airflow | 34,705 |
| 5 | streamlit | 32,051 |
| 6 | Ray | 31,414 |
| 7 | gradio | 29,400 |
| 8 | spaCy | 28,849 |
| 9 | pytorch-lightning | 27,064 |
| 10 | data-science-ipython-notebooks | 26,532 |
| 11 | ML-From-Scratch | 23,260 |
| 12 | d2l-en | 21,858 |
| 13 | dash | 20,583 |
| 14 | matplotlib | 19,382 |
| 15 | recommenders | 18,085 |
| 16 | ipython | 16,146 |
| 17 | best-of-ml-python | 15,633 |
| 18 | gensim | 15,289 |
| 19 | Prefect | 14,780 |
| 20 | nni | 13,777 |
| 21 | dvc | 13,189 |
| 22 | ydata-profiling | 12,085 |
| 23 | seaborn | 11,994 |
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