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Top 23 Machine Learning Open-Source Projects
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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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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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nn
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
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Project mention: TensorFlow-metal on Apple Mac is junk for training | news.ycombinator.com | 2024-01-16
Project mention: Maxtext: A simple, performant and scalable Jax LLM | news.ycombinator.com | 2024-04-23Is t5x an encoder/decoder architecture?
Some more general options.
The Flax ecosystem
https://github.com/google/flax?tab=readme-ov-file
or dm-haiku
https://github.com/google-deepmind/dm-haiku
were some of the best developed communities in the Jax AI field
Perhaps the “trax” repo? https://github.com/google/trax
Some HF examples https://github.com/huggingface/transformers/tree/main/exampl...
Sadly it seems much of the work is proprietary these days, but one example could be Grok-1, if you customize the details. https://github.com/xai-org/grok-1/blob/main/run.py
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
Project mention: A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev | dev.to | 2024-02-05netdata.cloud — Netdata is an open-source tool to collect real-time metrics. It's a growing product and can also be found on GitHub!
- https://github.com/microsoft/ML-For-Beginners
Also check out this list Pitt puts out every year:
course Computer science is very wast field the fundamental remains same, learn basic fundamentals, data structures, concepts of object oriented programming.
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development.
Project mention: AutoCodeRover resolves 22% of real-world GitHub in SWE-bench lite | news.ycombinator.com | 2024-04-09Thank you for your interest. There are some interesting examples in the SWE-bench-lite benchmark which are resolved by AutoCodeRover:
- From sympy: https://github.com/sympy/sympy/issues/13643. AutoCodeRover's patch for it: https://github.com/nus-apr/auto-code-rover/blob/main/results...
- Another one from scikit-learn: https://github.com/scikit-learn/scikit-learn/issues/13070. AutoCodeRover's patch (https://github.com/nus-apr/auto-code-rover/blob/main/results...) modified a few lines below (compared to the developer patch) and wrote a different comment.
There are more examples in the results directory (https://github.com/nus-apr/auto-code-rover/tree/main/results).
You will also need to install the Tesseract OCR engine, which can be downloaded and installed from the following link: https://github.com/tesseract-ocr/tesseract
Camera connected to a PI? Something like this could run locally: https://github.com/ageitgey/face_recognition
Project mention: faceswap VS facefusion - a user suggested alternative | libhunt.com/r/faceswap | 2024-01-30
Ref https://www.youtube.com/watch?v=0GwnxFNfZhM https://github.com/ultralytics/yolov5 https://dev.to/gfstealer666/kaaraich-yolo-alkrithuemainkaartrwcchcchabwatthu-object-detection-3lef https://www.kaggle.com/datasets/devdgohil/the-oxfordiiit-pet-dataset/data
34. Julia - $74,963
Project mention: Top 10 GitHub Repositories Every Developer Should Bookmark in 2024 | dev.to | 2024-02-072) 100 Days of ML Code: Embark on a 100-day journey into the fascinating world of machine learning with this structured curriculum. Packed with bite-sized coding challenges and real-world projects, this repository will transform you from a coding novice to a confident ML enthusiast. (https://github.com/Avik-Jain/100-Days-Of-ML-Code)
For open assistant, the code: https://github.com/LAION-AI/Open-Assistant/tree/main/inference
Project mention: [D] How do you keep up to date on Machine Learning? | /r/learnmachinelearning | 2023-08-13Made With ML
Project mention: Building in Public: Leveraging Tublian's AI Copilot for My Open Source Contributions | dev.to | 2024-02-12Contributing to Apache Airflow's open-source project immersed me in collaborative coding. Experienced maintainers rigorously reviewed my contributions, providing constructive feedback. This ongoing dialogue refined the codebase and honed my understanding of best practices.
A co-founder announced they disbanded their robots team a couple years ago: https://venturebeat.com/business/openai-disbands-its-robotic...
That was the same time they depreciated OpenAI Gym: https://github.com/openai/gym
Click to Learn more...
Project mention: I am out of the loop. Is Next.js "the future" and something I should consider adding to my knowledge pool? | /r/webdev | 2023-07-05What do you have against tesseract.js?
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).
Machine Learning related posts
- Building an Email Assistant Application with Burr
- Voxel51 Is Hiring AI Researchers and Scientists — What the New Open Science Positions Mean
- Observations on MLOps–A Fragmented Mosaic of Mismatched Expectations
- Show HN: I made a ROS package for realtime semantic segmentation
- The Nimble File Format by Meta
- Wouldn't it be cool to have a Supabase for SQLite?
- How to Estimate Depth from a Single Image
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Index
What are some of the best open-source Machine Learning projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | tensorflow | 182,456 |
| 2 | transformers | 125,021 |
| 3 | Pytorch | 77,783 |
| 4 | Netdata | 68,153 |
| 5 | ML-For-Beginners | 66,908 |
| 6 | cs-video-courses | 64,788 |
| 7 | Keras | 60,937 |
| 8 | scikit-learn | 58,046 |
| 9 | tesseract-ocr | 58,022 |
| 10 | awesome-scalability | 53,036 |
| 11 | Face Recognition | 51,755 |
| 12 | faceswap | 49,178 |
| 13 | nn | 48,004 |
| 14 | yolov5 | 46,921 |
| 15 | julia | 44,510 |
| 16 | 100-Days-Of-ML-Code | 43,302 |
| 17 | TensorFlow-Examples | 43,200 |
| 18 | Open-Assistant | 36,622 |
| 19 | Made-With-ML | 35,656 |
| 20 | Airflow | 34,485 |
| 21 | gym | 33,873 |
| 22 | Caffe | 33,859 |
| 23 | Tesseract.js | 33,498 |
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