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### Software tools
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- Context-Adaptive ML:
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- <a href="https://contextualized.ml">
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<img src="/assets/img/contextualized_logo.png" alt="ContextualizedML" width="30%"/>
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</a>: An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters
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- <a href="https://contextualized.ml">
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<img src="/assets/img/contextualized_logo.png" alt="ContextualizedML" width="30%"/>
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</a>: An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters
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- <a href="http://fastlm.ai">
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<img src="/assets/img/fastlm_logo.png" alt="FastLM" width="10%"/>
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</a>
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Tools for large-scale, distributed, parallel, sparsity in LMs. Includes:
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- [FastCache](https://github.com/FastLM/FastCache): Fast Caching for Diffusion Transformer Through Learnable Linear Approximation
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- [PiKV](https://github.com/FastLM/PiKV): KV Cache Management System for MoE
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- [GraphSnapShot](https://github.com/FastLM/GraphSnapShot): Caching Local Structure for Fast Graph Learning
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- Explainable Boosting Machines (EBM):
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- [TalkToEBM](https://github.com/interpretml/TalkToEBM) - A Natural Language Interface to Explainable Boosting Machines (EBMs)
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- [EBM Utils](https://github.com/AdaptInfer/ebm_utils) - Utilities for EBM
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- [GAM Purification](https://github.com/AdaptInfer/gam_purification) - Tools for purifying additive models with interaction effects into identifiable representations.
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- [ConferenceCountdown](https://github.com/AdaptInfer/ConferenceCountdown) - A countdown website for ML/CompBio conference deadlines.
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- [website_utils](https://github.com/adaptinfer/website_Utils) - Some utilities for building this website.
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### Advice
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- [Thoughts from my Faculty Application Experience](https://benlengerich.medium.com/38f1a29c715e)
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- [Latex template for preprints](https://www.overleaf.com/read/cbkczmhxbkgj#2a2fc3)
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- [Latex template for academic CV](https://www.overleaf.com/read/wgjmndzcfyqr#21999c)
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### Internal resources

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