NobleKennamer

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

stargazer

Python implementation of the R stargazer multiple regression model creation tool

POT

POT : Python Optimal Transport

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

dad

Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

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"

what-is

Important concepts in numerical linear algebra and related areas

nflows

Normalizing flows in PyTorch

BookCode_Edition1

tldr

📚 Collaborative cheatsheets for console commands

medical-imaging-datasets

A list of Medical imaging datasets.

geomstats

Computations and statistics on manifolds with geometric structures.

intro_dgm

"Deep Generative Modeling": Introductory Examples

awesome-normalizing-flows

Awesome resources on normalizing flows.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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