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Top 23 machine-learning-algorithm Open-Source Projects
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I don't recommend just jumping in into natural language processing directly without understanding artificial intelligence theory. I personally recommend for you to start with the basic stuff (regression, classification, and clustering, for example), and then jump into more advanced topics. You already know software developer stuff, so that's a big step already, and it should be easier to understand some concepts. Maybe follow Microsoft's machine learning for beginners curriculum? It looks like a good roadmap overall to not instantly burn out on nlp
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Project mention: ✨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free 💯 | /r/learnmachinelearning | 2022-10-14
1️⃣ 100 Days Of ML Code
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machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
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C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
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homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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C
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
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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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Onboard AI
Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.
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python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
Project mention: Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E] | /r/statistics | 2022-12-12 -
Project mention: What can be the reasons of BatchNorm working and Dropout not working in YoloV1 Pytorch implementation? | /r/MLQuestions | 2023-06-08
I then found Aladdin Persson implementation (which he described in YouTube video). He said that original paper used Dropout, because BatchNorm was not invented at the time, and he wants to use BatchNorm instead. I thought there is no critical difference between these two, and decided to stick up with paper for the sake of learning to implement such things.
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Learn-Datascience-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.
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pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
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sklearn can't, bit take a look at cuML (https://github.com/rapidsai/cuml ). It uses the same API as sklearn but executes on GPU.
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igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
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nano-neuron
🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
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Project mention: modAL VS encord-active - a user suggested alternative | libhunt.com/r/modAL | 2023-04-12
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PixLab (https://pixlab.io) & FACEIO (https://faceio.net) | Full-or-part-time | Remote | Computer Vision / Full stack Engineers |
PixLab, a leading provider of Machine Vision, Face Recognition & Media Processing APIs is looking for:
* Embedded C & Computer Vision engineer(s) to work on the SOD (https://sod.pixlab.io), embedded computer vision library.
* Senior Python engineer with proficiency in PyTorch to work on FACEIO (https://faceio.net), our facial authentication web framework for web sites & apps.
* C++ developer with ML expertise to work on the port of Tiny-Dream (https://pixlab.io/tiny-dream), our embedded Stable Diffusion C++ library from ncnn to ggml.
* React/Vue JS Web developer(s) with expertise in fabric.js to work on a brand new, web based photo editing software backed by generative AI.
Reach out to Vincent via contact AT pixlab.io with your resume if interested.
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EdgeML
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India. (by microsoft)
There is compiler from microsoft called SEEDOT https://github.com/microsoft/EdgeML/tree/master/tools/SeeDot , very good for 8bit , not sure for 4bit , what is usecase you compile it down to 4 bit systems
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machine_learning_refined
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
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InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
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).
The latest post mention was on 2023-09-01.
machine-learning-algorithms related posts
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- Pointers to reduce false negatives while not sacrificing accuracy in deep learning
- is it worth learning NLP without master degree?
- AI i Machine Learning
- Cross Validating Time Series Models in R
- Is it possible to run Sklearn models on a GPU?
- I want to learn more about AI and Machine Learning
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Index
What are some of the best open-source machine-learning-algorithm projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | ML-For-Beginners | 53,654 |
| 2 | 100-Days-Of-ML-Code | 41,880 |
| 3 | machine-learning-for-software-engineers | 27,205 |
| 4 | C-Plus-Plus | 25,918 |
| 5 | homemade-machine-learning | 21,806 |
| 6 | C | 16,928 |
| 7 | nni | 13,287 |
| 8 | python-machine-learning-book | 11,952 |
| 9 | Machine-Learning-Collection | 5,796 |
| 10 | Learn-Datascience-For-Free | 4,976 |
| 11 | machine_learning_basics | 4,104 |
| 12 | pattern_classification | 4,040 |
| 13 | cuml | 3,539 |
| 14 | igel | 3,057 |
| 15 | tslearn | 2,588 |
| 16 | hdbscan | 2,534 |
| 17 | nano-neuron | 2,204 |
| 18 | modAL | 2,023 |
| 19 | sod | 1,676 |
| 20 | EdgeML | 1,480 |
| 21 | mlreef | 1,437 |
| 22 | machine_learning_refined | 1,404 |
| 23 | GIMP-ML | 1,302 |
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