Stars
SynthDa is a framework designed to make synthetic data generation for human actions more usable and accessible. This is a pose-level augmentation framework that generates synthetic training videos …
Library for using the models trained in PhysicsNeMo in Engineering and CFD workflows
PhysicsNeMo-Curator is a Python-based library designed to streamline and accelerate the process of data curation for engineering datasets.
3D Object Reconstruction project is a workflow that takes a set of stereo images and camera info and outputs a textured mesh (i.e., .OBJ file). The purpose is to translate physical items into the d…
Nemotron-CORTEXA is an open-source software engineering agent that fixes GitHub issues.
Clear, runnable demos of projects that apply NVIDIA technology to real research and industry needs. It showcases collaborative projects with educational institutions and partners, providing one pla…
A tool for captioning, visualizing and analyzing image datasets
A comprehensive toolkit for GPU Communications Libraries performance testing and data analysis.
The developer-first platform for scaling complex Physical AI workloads across heterogeneous compute—unifying training GPUs, simulation clusters, and edge devices in a simple YAML
ALCHEMI Toolkit-Ops is a collection of optimized batch kernels to accelerate computational chemistry and material science workflows.
A deep learning model for small molecule drug discovery and cheminformatics based on SMILES
Collection of reference workflows for building intelligent agents with NIMs
NVIDIA Digital Biology examples for optimized inference and training at scale
A toolkit for processing speech data and creating speech datasets
Accelerate your Gen AI with NVIDIA NIM and NVIDIA AI Workbench
NVIDIA DLA-SW, the recipes and tools for running deep learning workloads on NVIDIA DLA cores for inference applications.
Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.
Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as higher level abstraction for domain experts
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
Massively parallel training of machine-learning based weather and climate models
An NVIDIA AI Workbench example project for Retrieval Augmented Generation (RAG)
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
A Python library for doing bibliometric and network analysis in science and health policy research