Dan Dale's repositories

finetuning-scheduler

A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

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covid19

A set of "real-time" covid19 county-level dashboards w/ national and state choropleths for monitoring localized infection resurgences as distancing, testing and tracing measures evolve.

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deep_classiflie

Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model deems most likely to be labeled falsehoods, the @DeepClassiflie twitter bot tweets out a statement analysis and model interpretation "report"

deep_classiflie_db

Deep_classiflie_db is the backend data system for managing Deep Classiflie metadata, analyzing Deep Classiflie intermediate datasets and orchestrating Deep Classiflie model training pipelines. Deep_classiflie_db includes data scraping modules for the initial model data sources. Deep Classiflie depends upon deep_classiflie_db for much of its analytical and dataset generation functionality but the data system is currently maintained as a separate repository here to maximize architectural flexibility. Depending on how Deep Classiflie evolves (e.g. as it supports distributed data stores etc.), it may make more sense to integrate deep_classiflie_db back into deep_classiflie. Currently, deep_classiflie_db releases are synchronized to deep_classiflie releases. To learn more, visit deepclassiflie.org.

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finetuning-scheduler-feedstock

A conda-smithy repository for finetuning-scheduler.

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ARENA_2.0

Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.

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Awesome-LLMOps

An awesome & curated list of best LLMOps tools for developers

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bokeh

Interactive Data Visualization in the browser, from Python

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classification

COVID-19 plots classification

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cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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jsonargparse

Parsing of command line options, yaml/jsonnet config files and/or environment variables based on argparse

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lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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lightning-flash

Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.

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lightning_sphinx_theme

PyTorch Lightning Sphinx Theme

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llama-recipes

Examples and recipes for Llama 2 model

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

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TransformerLens

A library for mechanistic interpretability of GPT-style language models

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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tutorials

Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.

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xturing

Easily build, customize and control your own LLMs

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