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Top 23 Machine Learning Open-Source Projects
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SaaSHub
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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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SaaSHub
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# L2-normalize the encoding tensors image_encoding = tf.math.l2_normalize(image_encoding, axis=1) audio_encoding = tf.math.l2_normalize(audio_encoding, axis=1) # Find euclidean distance between image_encoding and audio_encoding # Essentially trying to detect if the face is saying the audio # Will return nan without the 1e-12 offset due to https://github.com/tensorflow/tensorflow/issues/12071 d = tf.norm((image_encoding - audio_encoding) + 1e-12, ord='euclidean', axis=1, keepdims=True) discriminator = keras.Model(inputs=[image_input, audio_input], outputs=[d], name="discriminator")
transformers is a package by Hugging Face, that helps you interact with models on HF Hub (GitHub)
Project mention: Clasificador de imágenes con una red neuronal convolucional (CNN) | dev.to | 2024-05-01PyTorch (https://pytorch.org/)
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.
Keras
We are going to be using an OCR (Optical Character Recognition) engine called Tesseract for the image-to-text recognition part. It is free software, released under the Apache License. Install the engine for your desired OS from their official website. I'm using Windows for this. Add the installation path to your environment variables.
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).
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
5. Avik-Jain/100-Days-Of-ML-Code - As the name implies, this repository offers a structured approach to learning machine learning with Python. It covers core ML principles and algorithms through real-world applications. 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
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Ray: Unified framework for scaling AI and Python applications
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OpenMLDB v0.9.0 Release: Major Upgrade in SQL Capabilities Covering the Entire Feature Servicing Process
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Recapping the AI, Machine Learning and Data Science Meetup — May 2, 2024
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Computer Vision Meetup: Develop a Legal Search Application from Scratch using Milvus and DSPy!
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May 8, 2024 AI, Machine Learning and Computer Vision Meetup
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AI enthusiasm #9 - A multilingual chatbot📣🈸
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How I got my first Rust job by doing open-source
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A note from our sponsor - InfluxDB
www.influxdata.com | 3 May 2024
Index
What are some of the best open-source Machine Learning projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | tensorflow | 182,575 |
| 2 | transformers | 125,369 |
| 3 | Pytorch | 78,016 |
| 4 | Netdata | 68,252 |
| 5 | ML-For-Beginners | 67,033 |
| 6 | cs-video-courses | 64,846 |
| 7 | Keras | 60,972 |
| 8 | tesseract-ocr | 58,182 |
| 9 | scikit-learn | 58,130 |
| 10 | awesome-scalability | 53,253 |
| 11 | Face Recognition | 51,816 |
| 12 | faceswap | 49,261 |
| 13 | nn | 48,430 |
| 14 | yolov5 | 47,071 |
| 15 | julia | 44,534 |
| 16 | 100-Days-Of-ML-Code | 43,337 |
| 17 | TensorFlow-Examples | 43,210 |
| 18 | Open-Assistant | 36,647 |
| 19 | Made-With-ML | 35,702 |
| 20 | Airflow | 34,570 |
| 21 | gym | 33,905 |
| 22 | Caffe | 33,875 |
| 23 | Tesseract.js | 33,577 |
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