Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Official implementation of VQ-Diffusion

Pyspark RDD, DataFrame and Dataset Examples in Python language

Brain signature patterns, atlases of regions, and meta-analysis masks for neuroimaging data analysis.

Connectome Workbench

The simplest, fastest repository for training/finetuning medium-sized GPTs.

A large-scale dataset of both raw MRI measurements and clinical MRI images.

PiML (Python Interpretable Machine Learning) toolbox for model development and model validation

an end to end framework for analyzing fMRI time-series data (4D) using transformers

End-to-End Object Detection with Transformers

A framework for evaluating models on integrative brain and behavior measurements

Mathematical derivation and pure Python code implementation of machine learning algorithms.

PRML algorithms implemented in Python

《机器学习》（西瓜书）公式详解

BertViz: Visualize Attention in Transformer Models (BERT, GPT2, BART, etc.)

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Taskonomy: Disentangling Task Transfer Learning

Machine Learning and Computer Vision Engineer - Technical Interview Questions

code for CVPR paper "Representation Similarity Analysis for Efficient Task Taxonomy and Transfer Learning"

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Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, …

Code for "Capturing brain dynamics: latent spatiotemporal patterns predict stimuli and individual differences"