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Top 23 Jupyter Notebook Numpy Projects
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numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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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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machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
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ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
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machine-learning-experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
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hamilton
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
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ILearnDeepLearning.py
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
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tensor-sensor
The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
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get-started-with-JAX
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
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Python-Roadmap
Python Roadmap. Learn Python programming as your first programming language. Python for Absolute Beginners, Non-Tech Professionals, 15+ Projects, 30 Topics, 500+ Practice Questions, with Data Structures & Algorithms
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Quantum-Computing-Collection-Of-Resources
A Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School's Introduction To Quantum Computing Course '21
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SaaSHub
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Project mention: About Data analyst, data scientist and data engineer, resources and experiences | dev.to | 2024-03-26Python Data Science Handbook
Project mention: Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0 | /r/algoprojects | 2023-12-09
Note that this uses simple OpenAI calls — you can replace this with Langchain, LlamaIndex, Hamilton (or something else) if you prefer more abstraction, and delegate to whatever LLM you like to use. And, you should probably use something a little more concrete (E.G. instructor) to guarantee output shape.
Project mention: How to stay up-to-date with the latest AI company announcements and events? | /r/singularity | 2023-05-12
maybe u can try find some website like this https://github.com/phillipai/100-days-of-code-python
Project mention: Machine learning for a mom with little time? | /r/learnmachinelearning | 2023-05-08https://github.com/fehiepsi/rethinking-numpyro https://xcelab.net/rm/statistical-rethinking/
There is one in roadmap.sh. But, I feel like it's not that detailed. From what I know, there are some random github repos for python roadmap like https://github.com/hemansnation/Python-Roadmap and some articles like https://www.bestcolleges.com/bootcamps/guides/python-projects-for-beginners/ Or maybe this one https://www.reddit.com/r/Python/comments/z3gntf/detailed_python_developer_roadmap/?utm_medium=android_app&utm_source=share
Jupyter Notebook Numpy related posts
- Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0
- Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0
- Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0
- Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0
- Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0
- Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0
- Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2771.0
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Index
What are some of the best open-source Numpy projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | PythonDataScienceHandbook | 41,485 |
2 | numerical-linear-algebra | 10,003 |
3 | py | 6,626 |
4 | machine_learning_complete | 4,507 |
5 | ta | 4,036 |
6 | alphalens | 3,089 |
7 | ML-foundations | 2,961 |
8 | Andrew-NG-Notes | 2,228 |
9 | 100-pandas-puzzles | 2,154 |
10 | machine-learning-experiments | 1,602 |
11 | hamilton | 1,312 |
12 | ILearnDeepLearning.py | 1,312 |
13 | tensor-sensor | 745 |
14 | gdrl | 699 |
15 | get-started-with-JAX | 558 |
16 | 100-days-of-code-python | 441 |
17 | rethinking-numpyro | 427 |
18 | Python-Roadmap | 352 |
19 | psi4numpy | 323 |
20 | Quantum-Computing-Collection-Of-Resources | 265 |
21 | Numsca | 182 |
22 | r-place-blender | 173 |
23 | benford_py | 148 |
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