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SriKrishna Paparaju's Projects

accelerate icon accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

aitemplate icon aitemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

aks-baseline icon aks-baseline

This is the Azure Kubernetes Service (AKS) Baseline Cluster reference implementation as produced by the Microsoft Azure Architecture Center.

apex icon apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

autogen icon autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

autogpt icon autogpt

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

chroma icon chroma

the AI-native open-source embedding database

crc icon crc

Red Hat CodeReady Containers is a tool that manages a local OpenShift 4.x cluster optimized for testing and development purposes

cutlass icon cutlass

CUDA Templates for Linear Algebra Subroutines

dali icon dali

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

dbrx icon dbrx

Code examples and resources for DBRX, a large language model developed by Databricks

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

deepspeed-mii icon deepspeed-mii

MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

deployments icon deployments

This repository contains the deployment configurations for the Observatorium instances

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

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