Pinned Repositories
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.
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.
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.
speediedan's Repositories
speediedan/finetuning-scheduler
A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
speediedan/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.
speediedan/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"
speediedan/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.
speediedan/finetuning-scheduler-feedstock
A conda-smithy repository for finetuning-scheduler.
speediedan/ARENA_2.0
Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.
speediedan/Awesome-LLMOps
An awesome & curated list of best LLMOps tools for developers
speediedan/bokeh
Interactive Data Visualization in the browser, from Python
speediedan/classification
COVID-19 plots classification
speediedan/cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
speediedan/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
speediedan/jsonargparse
Parsing of command line options, yaml/jsonnet config files and/or environment variables based on argparse
speediedan/lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
speediedan/lightning-flash
Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.
speediedan/lightning_sphinx_theme
PyTorch Lightning Sphinx Theme
speediedan/llama-recipes
Examples and recipes for Llama 2 model
speediedan/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
speediedan/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
speediedan/TransformerLens
A library for mechanistic interpretability of GPT-style language models
speediedan/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
speediedan/tutorials
Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.
speediedan/xturing
Easily build, customize and control your own LLMs