Bharat Giddwani (bharat3012)

bharat3012

Geek Repo

Company:Deep Learning Solutions Architect @NVIDIA

Location:Rajasthan

Home Page:https://bharat3012.github.io/Portfolio/

Twitter:@giddwani

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Bharat Giddwani's repositories

Movie-Review

Source code for pretrained moview review data set for and applying transfer learning on MR dataset available in Pytorch library.

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audino

Open source audio annotation tool for humans™

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awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

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CenterFace

face detection

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dali_backend

The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.

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energy-sdk

GPU Accelerated Building Blocks integrating HPC+AI for Energy Customers

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Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects

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fsi-samples

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

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gpubootcamp

This repository consists for gpu bootcamp material for HPC and AI

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insightface

State-of-the-art 2D and 3D Face Analysis Project

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Linux_training

Intro to Linux training material

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mig-parted

MIG Partition Editor for NVIDIA GPUs

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MultiNode_MONAI_example

An example of multi-GPU, multi-node training under SLURM with MONAI

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NV_DeepstreamSDK_Excercise

NVIDIA Deepstream SDK & Gstreamer excercise

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Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

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retinanet-examples

Fast and accurate object detection with end-to-end GPU optimization

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server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

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tao-toolkit-triton-apps

Sample app code for deploying TAO Toolkit trained models to Triton

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VideoProcessingFramework

Set of Python bindings to C++ libraries which provides full HW acceleration for video decoding, encoding and GPU-accelerated color space and pixel format conversions

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