FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling
ludwig
| FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling | ludwig | |
|---|---|---|
| 2 | 3 | |
| 0 | 11,078 | |
| - | 0.5% | |
| 8.5 | 9.0 | |
| about 1 year ago | 17 days ago | |
| Jupyter Notebook | Python | |
| - | Apache License 2.0 |
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FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling
- [TASK] Python- simple classification algorythms
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[Hiring] Python Short task - simple classifier algorythms
Preferebly get the scripts from kaggle/github etc. one possible source to rewrite the scripts is here: https://github.com/petr-ngn/FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling
ludwig
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Show HN: Toolkit for LLM Fine-Tuning, Ablating and Testing
This 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!
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Python projects with best practices on Github?
Two random examples I found from 30 seconds of googling: Here’s Netflix using it in their crisis management tool, and here’s Uber using it in their deep learning framework.
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Most Frequent 600 Coding Questions on LeetCode
They list themselves all over the internet as an "open source contributor" to Uber, which as far I can tell is based entirely on... reporting that there was an issue with a favicon. To me, it seems like they'll be cheating anybody who employs them based on this, ahem, "experience". And that feels like the tip of the iceberg.
What are some alternatives?
surv_ai - A framework to empower forecasting using Large Language Models (LLMs)
nlp-recipes - Natural Language Processing Best Practices & Examples
practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book
data-structures-and-algorithms - Resources that I used to crack some big tech & startups interviews
ethereum-economic-model - A modular dynamical-systems model of Ethereum's validator economics
ai-deadlines - :alarm_clock: AI conference deadline countdowns
market_risk_gan_keras - Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow. [Moved to: https://github.com/hamaadshah/market_risk_gan_tensorflow]
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.