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Top 23 Machinelearning Open-Source Projects
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InfluxDB
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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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Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
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vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
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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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clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
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Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
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awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
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best_AI_papers_2022
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
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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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best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and 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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Best_AI_paper_2020
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
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awesome-chatgpt
🧠 A curated list of awesome ChatGPT resources, including libraries, SDKs, APIs, and more. 🌟 Please consider supporting this project by giving it a star. (by eon01)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
- https://github.com/microsoft/ML-For-Beginners
Also check out this list Pitt puts out every year:
Project mention: Visualizer for neural network, deep learning and machine learning models | news.ycombinator.com | 2023-12-26
Project mention: Show HN: Toolkit for LLM Fine-Tuning, Ablating and Testing | news.ycombinator.com | 2024-04-07This is a great project, little bit similar to https://github.com/ludwig-ai/ludwig, but it includes testing capabilities and ablation.
questions regarding the LLM testing aspect: How extensive is the test coverage for LLM use cases, and what is the current state of this project area? Do you offer any guarantees, or is it considered an open-ended problem?
Would love to see more progress toward this area!
Extract from awesome-open-gpt
We (Marqo) are doing a lot on 1 and 2. There is a huge amount to be done on the ML side of vector search and we are investing heavily in it. I think it has not quite sunk in that vector search systems are ML systems and everything that comes with that. I would love to chat about 1 and 2 so feel free to email me (email is in my profile). What we have done so far is here -> https://github.com/marqo-ai/marqo
Project mention: Programs to create model architectures schemes | /r/learnmachinelearning | 2023-05-31I can recommend this repo it offers a lot of visualization methods for neural networks.
Project mention: Dive Deep into Conformal Prediction with This Ultimate Resource Compilation | news.ycombinator.com | 2024-04-15
Project mention: What are the most important papers on AI that you would recommend? | /r/singularity | 2023-05-04Nonetheless, here's something I vaguely recall glancing over (a collection of one person's opinion on the most significant papers of 2022). https://github.com/louisfb01/best_AI_papers_2022
Project mention: Fast Llama 2 on CPUs with Sparse Fine-Tuning and DeepSparse | news.ycombinator.com | 2023-11-23Interesting company. Yannic Kilcher interviewed Nir Shavit last year and they went into some depth: https://www.youtube.com/watch?v=0PAiQ1jTN5k DeepSparse is on GitHub: https://github.com/neuralmagic/deepsparse
Awesome ChatGPT with useful tools & resources
In order to try to solve this issue, NannyML was created. NannyML is an open-source Python library designed in order to make it easy to monitor drift in the distributions of our model input variables and estimate our model performance (even without labels!) thanks to the Confidence-Based Performance Estimation algorithm they developed. But first of all, why do models need to be monitored and why their performance might vary over time?
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).
Machinelearning related posts
- Dive Deep into Conformal Prediction with This Ultimate Resource Compilation
- Ask HN: Is there any good semantic search GUI for images or documents?
- Visualizer for neural network, deep learning and machine learning models
- Netron: Visualizer for Machine Learning Models
- Forecasts need to have error bars
- Fast Llama 2 on CPUs with Sparse Fine-Tuning and DeepSparse
- ML for Beginners GitHub
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A note from our sponsor - InfluxDB
www.influxdata.com | 26 Apr 2024
Index
What are some of the best open-source Machinelearning projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | ML-For-Beginners | 66,908 |
| 2 | netron | 26,040 |
| 3 | homemade-machine-learning | 22,531 |
| 4 | Machine-Learning-Tutorials | 14,849 |
| 5 | horovod | 13,952 |
| 6 | ludwig | 10,801 |
| 7 | vaex | 8,171 |
| 8 | nsfwjs | 7,626 |
| 9 | clearml | 5,243 |
| 10 | awesome-open-gpt | 5,035 |
| 11 | marqo | 4,111 |
| 12 | Tools-to-Design-or-Visualize-Architecture-of-Neural-Network | 4,038 |
| 13 | awesome-conformal-prediction | 3,381 |
| 14 | best_AI_papers_2022 | 3,201 |
| 15 | igel | 3,080 |
| 16 | best_AI_papers_2021 | 2,902 |
| 17 | deepsparse | 2,873 |
| 18 | tslearn | 2,777 |
| 19 | nano-neuron | 2,224 |
| 20 | Best_AI_paper_2020 | 2,221 |
| 21 | awesome-chatgpt | 2,111 |
| 22 | nannyml | 1,754 |
| 23 | nsfw_model | 1,609 |
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