dcai-lab
chordviz
| dcai-lab | chordviz | |
|---|---|---|
| 10 | 2 | |
| 400 | 4 | |
| 3.0% | - | |
| 5.4 | 6.9 | |
| 4 months ago | 11 months ago | |
| Jupyter Notebook | Swift | |
| GNU Affero General Public License v3.0 | - |
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dcai-lab
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Resources to learn practical/industry-focused ML (preferably using TensorFlow)?
Data-Centric AI honestly if you've been working on ML pipelines this might be familiar to you
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Andrew NG, github courses
Another great resource inspired by the Andrew Ng data-centric AI movement is the Introduction to Data-Centric AI course taught this past semester at MIT by PhDs.
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Good Beginner Courses for ML?
Data-centric AI course. Brand new, taught the 1st time a few months ago by MIT PhD grads. This covers how to ensure good data quality for your models. More data science havy.
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[P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.
Thanks for the kind words! Make sure to check out the current open MIT course if you are just starting out: https://dcai.csail.mit.edu/
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The Missing Semester of Your CS Education
Introduction to Data-Centric AI https://dcai.csail.mit.edu
- Introduction to Data-Centric AI
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MIT Introduction to Data-Centric AI
Course homepage | Lecture videos on YouTube | Lab Assignments
chordviz
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The Matrix Calculus You Need for Deep Learning
Here’s an ML project I’ve been working on as a solo dev:
https://github.com/williamcotton/chordviz
Labeling software in React, CNN in PyTorch, prediction on app in SwiftUI. 12,000 and counting hand labeled images of my hand on a guitar fretboard!
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Introduction to Data-Centric AI
I have an ML project I started that involved manually labeling around 10,000 still frames of my hand on a guitar fretboard playing various chord shapes. I made a little web app with a keyboard interface for quickly adding labels to images. I got up to around an image a second when I got in the zone. I finished the dataset, got distracted by the birth of my son, and have literally done none of the “fun stuff” yet!
If anyone wants to have a crack at the data, it’s in git-lfs and here:
https://github.com/williamcotton/chordviz
What are some alternatives?
snorkel - A system for quickly generating training data with weak supervision
MatrixForensics - Collection of Matrix/Linear Algebra Information
cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
BotLibre - An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.
llm-course - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
deodel - A mixed attributes predictive algorithm implemented in Python.
UBB-INFO - All projects from university.
nodevectors - Fastest network node embeddings in the west
dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.
dcai-course - Introduction to Data-Centric AI, MIT IAP 2023 🤖
refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
optuna - A hyperparameter optimization framework