Machine-Learning-Guide
best-of-ml-python
Machine-Learning-Guide | best-of-ml-python | |
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6 | 16 | |
437 | 15,364 | |
- | 0.9% | |
6.2 | 7.8 | |
4 months ago | 1 day ago | |
Python | Python | |
- | Creative Commons Attribution Share Alike 4.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Machine-Learning-Guide
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I just learned the basics of python. Where can I get started with machine learning?
This Machine learning Guide has a list of courses and tools for machine learning.
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Useful Tools and Resources for Reinforcement Learning
Found a useful list of Tools, Frameworks, and Resources for RL/ML. It covers Reinforcement learning, Machine Learning (TensorFlow & PyTorch), Core ML, Deep Learning, Computer Vision (CV). I thought I'd share it for anyone that's interested
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How to learn Machine Learning? My Roadmap
I would also recommend this Machine Learning Guide. I found it a weeks ago and it has some useful info.
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Useful Tools, Programs, and Resources for AI/ML
Found a useful list of Tools and Programs for Machine Learning/Deep Learning. Looks like it covers Machine Learning, Deep Learning, Computer Vision(CV), and Natural Language Processing (NLP). I thought I'd share it for anyone that's interested.
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Useful Tools and Programs list for AI/ML
Found a useful list of Tools and Programs for AI/ML. Looks like it covers Machine Learning, Deep Learning, Computer Vision(CV), and Natural Language Processing (NLP). I thought I'd share it for anyone that's interested. https://github.com/mikeroyal/Machine-Learning-Guide
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Cool Machine Learning Guide/ Wiki
Machine Learning Guide/Wiki: https://github.com/mikeroyal/Machine-Learning-Guide
best-of-ml-python
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Ask HN: How to get back into AI?
For Python, here's a nice compilation: https://github.com/ml-tooling/best-of-ml-python/blob/main/RE...
- Best-Of Machine Learning with Python
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Questions regarding Job Requirements for data analyst to data science transition?
You will need numpy, scipy, pandas, scikit-learn, Keras/tensorflow/pytorch, xgboost and many many many others. See this list for example.
- Awesome list of ML
- Are there any speech recognition modules so I can write one and do not have to rely on google and the likes?
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Learning opencv
Take a look at this list on github. It has a pretty comprehensive list of python image libraries.
- Best-of Machine Learning with Python
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
What are some alternatives?
Text2Poster-ICASSP-22 - Official implementation of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
pytorch-forecasting - Time series forecasting with PyTorch
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
dtale - Visualizer for pandas data structures
prtm - Deep learning for protein science
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data