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algorithm-notes

appliedml_python_coursera

Material and note of the course of Applied ML in Python

aws-glue-libs

AWS Glue Libraries are additions and enhancements to Spark for ETL operations.

bert

TensorFlow code and pre-trained models for BERT

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

keras-transformer

Keras library for building (Universal) Transformers, facilitating BERT and GPT models

llama-efficient-tuning

Easy-to-use fine-tuning framework using PEFT (PT+SFT+RLHF with QLoRA)

nlu-naluhodo

enron email classification project

notebooks

jupyter notebooks for course and book

nyu-data-bootcamp

Data + Python @ NYU Stern

pcc

Resources for Python Crash Course, from No Starch Press.

pix2vox

Implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images" (Xie et al., ICCV 2019)

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

rl-learning

samples

sim_compiler

vae_learning

A Collection of Variational Autoencoders (VAE) in PyTorch.