dhaniram-kshirsagar's repositories
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.
incubator-tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
neo-ai-dlr
Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.
aws-doc-sdk-examples
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.rst file below.
Basic_Problem_SOLUTION
Config files for my GitHub profile.
bottlerocket
An operating system designed for hosting containers
ecoute
Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox. It also generates a suggested response using OpenAI's GPT-3.5 for the user to say based on the live transcription of the conversation.
excalidraw
Virtual whiteboard for sketching hand-drawn like diagrams
ggml-a-lib-for-gpt4all
Tensor library for machine learning
github-issue-templates
:symbols: A collection of GitHub issue and pull request templates
gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
gpt-pilot
Dev tool that writes scalable apps from scratch while the developer oversees the implementation
hbase
Apache HBase
java-docs-spring-hello-world
A hello world application for the App Service quickstart, created with Spring Initializr with a Spring.Web dependency
MetaGPT
🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
ray-for-ai-models
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
sentence-transformers
Sentence Embeddings with BERT & XLNet
solution-architecture-patterns
Reusable, vendor-neutral, industry-specific, vendor-specific solution architecture patterns for enterprise
spark-connector
This component acts as a bridge between Spark and Vertica, allowing the user to either retrieve data from Vertica for processing in Spark, or store processed data from Spark into Vertica.
spark-standalone-cluster-on-docker
Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. :zap:
WebFundamentals
Best practices for modern web development
website-templates
150+ HTML5 Website Templates