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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

cas-project

Course project for UCSC course CMPS 203, Programming Languages.

codet5

Home of CodeT5: Open Code LLMs for Code Understanding and Generation

deep-learning-with-tensorflow-2-and-keras

Deep Learning with TensorFlow 2 and Keras, published by Packt

deepreinforcementlearning

A replica of the AlphaZero methodology for deep reinforcement learning in Python

easylm

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

flax

Flax is a neural network library for JAX that is designed for flexibility.

flowers

Flowers Dataset from Kaggle

fmri_data_analysis

Python code explaining how to display structural and functional fMRI data.

gdrl

Code to go along with the Grokking Deep Reinforcement Learning book

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

koala_data_pipeline

The data processing pipeline for the Koala chatbot language model

llama

Inference code for LLaMA models

mathematical-python

Introduction to Mathematical Computing with Python and Jupyter

mathq

Data and code for the paper "A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human Level" by Drori et al., 2022.

mikulan_et_al_2020

Simultaneous human intracerebral stimulation and HD-EEG: ground-truth for source localization methods - Scripts and usage demonstration

nibabel

Python package to access a cacophony of neuro-imaging file formats

open_llama

OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

python_spectrograms_and_inversion

Spectrograms, MFCCs, and Inversion Demo in a jupyter notebook

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

toxic_text_classification

variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

visbrain

A multi-purpose GPU-accelerated open-source suite for brain data visualization