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Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Zotero plugin to manage your attachments: automatically rename, move, and attach PDFs (or other files) to Zotero items, sync PDFs from your Zotero library to your (mobile) PDF reader (e.g. an iPad,…
This repository contains implementations and illustrative code to accompany DeepMind publications
Open source code for AlphaFold 2.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
GFlowNet library specialized for graph & molecular data
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
pix2tex: Using a ViT to convert images of equations into LaTeX code.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Numpy group_by and set-operations
A game theoretic approach to explain the output of any machine learning model.
starter-kit for running stuff on the Berkeley Research Cluster Savio cluster Batteries Included!:battery:
A crude workaround to libsndfile/soundfile not reading .flac files properly.
Materials for SCF March 2022 workshop on databases and SQL
Tutorial on working with databases and SQL
Source code for the data pipeline that start by ingesting data from the embedded data collection devices (whale tags, moorings, etc), uploads it to the cloud and combines in a dataset consumable by…
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Learning clinical-decision rules with interpretable models.
Datasets derived from US census data
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
PyMC educational resources