DataProfiler
modAL
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| DataProfiler | modAL | |
|---|---|---|
| 61 | 4 | |
| 1,362 | 2,140 | |
| 2.5% | 1.5% | |
| 6.3 | 1.9 | |
| 6 days ago | 2 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DataProfiler
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LongRoPE: Extending LLM Context Window Beyond 2M Tokens
It's been possible to skip tokenization for a long time, my team and I did it here - https://github.com/capitalone/DataProfiler
For what it's worth, we actually were working with LSTMs with nearly a billion params back in 2016-2017 area. Transformers made it far more effective to train and execute, but ultimately LSTMs are able to achieve similar results, though slow & require more training data.
- Data Profiler – What's in your data?
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Data Profiler 0.9.0 -- offering a massive improvement to memory usage during profiling of large datasets
Great call out -- would you be willing to write up an issue for that on the repo? Thank you! https://github.com/capitalone/DataProfiler/issues/new/choose
- FLiPN-FLaNK Stack Weekly for 20 March 2023
- Release 0.8.3 · capitalone/DataProfiler
modAL
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modAL VS encord-active - a user suggested alternative
2 projects | 12 Apr 2023
- What are frameworks/tools used for Human-In-The-Loop (active) learning ?
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Launch HN: Lightly (YC S21): Label only the data which improves your ML model
How does it differentiate from modAL?
https://github.com/modAL-python/modAL
- Active Learning Using Detectron2
What are some alternatives?
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
active_learning - Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.
pyWhat - 🐸 Identify anything. pyWhat easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is! 🧙♀️
GPflowOpt - Bayesian Optimization using GPflow
usaddress - :us: a python library for parsing unstructured United States address strings into address components
paramonte - ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
XlsxWriter - A Python module for creating Excel XLSX files.
lightly - A python library for self-supervised learning on images.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
pretty-print-confusion-matrix - Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
vtuber-livechat-dataset - 📊 VTuber 1B: Billion-scale Live Chat and Moderation Event Dataset
baybe - Bayesian Optimization and Design of Experiments