Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Adjusted chi-square test. Testing goodness-of-fit of a DCSBM/SBM to network data. See paper https://arxiv.org/abs/2012.15047

3D force-directed graph component using ThreeJS/WebGL

R function interface for Matlab

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Robust Speech Recognition via Large-Scale Weak Supervision

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Source code for Twitter's Recommendation Algorithm

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

Setup PyTorch on Mac/Apple Silicon plus a few benchmarks.

A topic-centric list of HQ open datasets.

Rcpp: Export a C++ Class into R using Rcpp Modules. For this example, we aim to implement a custom student class.

React component for 2D, 3D, VR and AR force directed graphs

Sample code for the Twitter API v2 endpoints

Cleaner and Formatter for BibTeX files

jekyll extensions for the blogging scholar

The MATLAB code for comparing the POIS model with others

ffn - a financial function library for Python

A beautiful, simple, clean, and responsive Jekyll theme for academics

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

Protein Graph Library

Generate embeddings from large-scale graph-structured data.