miguelusque

ai--transfer-learning-for-image-classification

This repository contains the 'transfer learning for image classification' project of the Udacity's AI Programming with Python Nanodegree Program.

machine-learning-frameworks-interoperability

machine-learning-engineer-nanodegree

Udacity's Machine Learning Engineer Nanodegree

react-nanodegree

Udacity's React Nanodegree

artificial-intelligence-nanodegree

Udacity's Artificial Intelligence Nanodegree + Specializations (CV and NLP)

computer-vision-nanodegree

Udacity's Computer Vision Nanodegree

natural-language-understanding-xcs224u

Stanford NLU

self-driving-car-engineer-nanodegree

Udacity's Self-Driving Car Engineer Nanodegree

blog

Jekyll Template - Mediumish

cs224u

Code for Stanford CS224u

CUDA-Training-Series

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

cudf

cuDF - GPU DataFrame Library

cuml

cuML - RAPIDS Machine Learning Library

deep-reinforcement-learning-nanodegree

docs

RAPIDS Documentation Site

dtale

Visualizer for pandas data structures

FasterTransformer

Transformer related optimization, including BERT, GPT

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hugectr_backend

Megatron-LM

Ongoing research training transformer models at scale

model_analyzer

Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.

nemo-curator

Scalable toolkit for data curation

NeMo-Megatron-Launcher

NeMo Megatron launcher and tools

notebooks

RAPIDS Sample Notebooks

notebooks-contrib

RAPIDS Community Notebooks

nvaitc-toolkit

Open source code base to showcase interoperability of CUDA-X AI software stack in multi-GPU environments and thus provide researchers a reference framework to build new projects on.

NVTabular

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

raft

RAFT contains fundamental widely-used algorithms and primitives for data science, graph and machine learning.

rmm

RAPIDS Memory Manager

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.