jmouad

stable-diffusion

A latent text-to-image diffusion model

whisper-acft

cornell-cs5785-2020-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

jetson-containers

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

cookbook

A collection of guides and examples for the Gemini API.

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

llama

Inference code for Llama models

jetson-generative-ai-playground

mmj_genai

A reference example for integrating NanoOwl with Metropolis Microservices for Jetson

llamafile

Distribute and run LLMs with a single file.

generative-ai-on-aws

Generative AI on AWS

bedrock-kb-rag-workshop

Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)

earthdata-cloud-cookbook

A tutorial book of workflows for research using NASA EarthData in the Cloud created by the NASA-Openscapes team

neurosymbolic-tinyml

TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning

lm-polygraph

TinyML-Cookbook

TinyML Cookbook, published by Packt

blanat

Blanat: BlaBlaConf 2024 Coding Challenge

TinyML-Cookbook_2E

TinyML Cookbook, 2E_Published by Packt

awesome-mlss

List of summer schools in machine learning + related fields across the globe

awesome-ai-summerschool

A list of summer schools on Artificial Intelligence, Machine Learning, and Healthcare

gedixr

Global Ecosystem Dynamics Investigation (GEDI) L2A/L2B -> GeoParquet & GeoDataFrame/Xarray

GediSaber

Python package for analyzing NASA GEDI data. GEDI is a LiDAR dataset that is acquired using the International Space Station.

pysl4land

Python tools to process spaceborne lidar (GEDI and ICESAT2) for land (pySL4Land) applications

gedi

a python code completion plugin for gedit3+

GEDI-BDL

This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".

pyGEDI

pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.

global-canopy-height-model

This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.

GEDI-Data-Resources

This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Global Ecosystem Dynamics Investigation (GEDI) mission.