machine-learning-roadmap
Knet.jl
| machine-learning-roadmap | Knet.jl | |
|---|---|---|
| 5 | 1 | |
| 7,164 | 1,418 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | almost 2 years ago | |
| Jupyter Notebook | ||
| MIT License | GNU General Public License v3.0 or later |
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-roadmap
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Best AI ML DL DS Roadmap
**[Mrdbourke/machine-learning-roadmap on GitHub](https://github.com/mrdbourke/machine-learning-roadmap)**: This GitHub repository is more focused on machine learning. It's a good choice if you're looking for a more community-driven approach, as GitHub repositories often encourage contributions and updates from various experts.
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[D] Best AI ML DL DS Roadmap
Some roadmaps I have found: - [roadmap.sh] AI and Data Scientist Roadmap ← Best? - [i.am.ai] AI Expert Roadmap - [github.com] mrdbourke/machine-learning-roadmap - [github.com] luspr/awesome-ml-courses - [rentry.org] Machine Learning Roadmap
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100+ Must Know Github Repositories For Any Programmer
7. Machine Learning Roadmap
- Where can I start?
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Machine Learning Roadmap
Original article here: https://github.com/mrdbourke/machine-learning-roadmap
Knet.jl
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Should you learn Julia or Python for Machine Learning?
We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.
What are some alternatives?
applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
stanford-cs-229-machine-learning - VIP cheatsheets for Stanford's CS 229 Machine Learning
ThreeBodyBot - Poorly written code that generates moderately exciting plots of a very specific physics phenomenon that enthralls dozens of us around the globe.
interviews.ai - 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.
edward2 - A simple probabilistic programming language.
yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
MLBase.jl - A set of functions to support the development of machine learning algorithms
Hello-Kaggle - For someone who is new at Kaggle
tensorflow - An Open Source Machine Learning Framework for Everyone
awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems.
machine-learning - 🤖 Repository with machine learning algorithms and implementations