Noble Kennamer's starred repositories
fink-broker
Astronomy Broker based on Apache Spark
conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
awesome-transformer-nlp
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
Awesome-LLM-Large-Language-Models-Notes
What can I do with a LLM model?
Awesome-LLM-Robotics
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
jammy_flows
A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control. The connection between different manifolds is fixed via an autoregressive structure.
DataStructuresAlgorithms
500+ Data Structures and Algorithms practice problems
causalbook
Replication code and downloadable example data sets for The Effect
TheEffectAssignments
Homework assignments to go along with The Effect
some-assembly-required
📖 An approachable introduction to Assembly.
GWG_release
Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
medical-imaging-datasets
A list of Medical imaging datasets.
awesome-normalizing-flows
Awesome resources on normalizing flows.
variational-inference-with-normalizing-flows
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
flowtorch
This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
ebird-best-practices
Best Practices for Using eBird Data
pytorchviz
A small package to create visualizations of PyTorch execution graphs