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Name: Dan Dale

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Dan Dale's Projects

arena_2.0

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

awesome-llmops

An awesome & curated list of best LLMOps tools for developers

bokeh

Interactive Data Visualization in the browser, from Python

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.

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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.

deepspeed

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

finetuning-scheduler

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

finetuning-scheduler-feedstock

A conda-smithy repository for finetuning-scheduler.

jsonargparse

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

lightning

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

lightning-flash

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

lightning_sphinx_theme

PyTorch Lightning Sphinx Theme

llama-recipes

Examples and recipes for Llama 2 model

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

staged-recipes

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

transformerlens

A library for mechanistic interpretability of GPT-style language models

transformers

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

tutorials

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

xturing

Easily build, customize and control your own LLMs

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