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Muhammad Iqran@iqrannwl

400/500

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Profile rank: lablab Apprentice

Next rank: lablab Specialist

3

Events attended

1

Submissions made

Web developer (Javascript & python)

Pakistan

3 years of experience

About me

πŸ”­ I’m currently working on Ruby on Rails, Django and Machine learning. 🌱 Learning Machine Learning and Deep Learning. πŸ‘― I’m looking to collaborate with other developers. πŸ₯… 2023 Goals: Contribute more to Open Source projects. ⚑ Fun fact: I love to create memes🀣 πŸ’¬ Ask me about anything, I am happy to help; πŸ‘¨β€πŸ’» All of my projects are available at GitHub πŸ“« Reach me via: Email

I built with

WebGPU

Socials

πŸ€“ Submissions

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    Hackathon link

    WebML Assist

    Elevate the realm of machine learning with "WebML Assist." This innovative project integrates the power of WebGPU and the capabilities of the "BabyAGI" framework to offer a seamless, high-speed experience in machine learning tasks. "WebML Assist" empowers users to build, train, and deploy AI models effortlessly, leveraging the parallel processing of GPUs for accelerated training. The platform intuitively guides users through data preprocessing, model architecture selection, and hyperparameter tuning, all while harnessing the performance boost of WebGPU. Experience the future of efficient and rapid machine learning with "WebML Assist." Technologies Used: WebGPU OpenAI APIs (GPT-3.5, GPT-4) BabyAGI Pinecone API (for task management) FineTuner.ai (for no-code AI components) Python (for backend) Redis (for data caching) Qdrant (for efficient vector similarity search) Generative Agents (for simulating human behavior). AWS SageMaker (for developing machine learning models quickly and easily build, train, and deploy). Reinforcement learning (is an area of machine learning concerned with how intelligent agents). Categories: Machine Learning AI-Assisted Task Management Benefits: "WebML Assist" brings together the capabilities of WebGPU and AI frameworks like "BabyAGI" to provide an all-encompassing solution for ML enthusiasts. Users can seamlessly transition from data preprocessing to model deployment while harnessing the GPU's power for faster training. The incorporation of AI agents ensures intelligent suggestions and efficient task management. By integrating AI, GPU acceleration, and user-friendly interfaces, "WebML Assist" empowers both novice and experienced ML practitioners to unlock the true potential of their projects, transforming the way AI models are built, trained, and deployed.

πŸ‘Œ Attended Hackathons

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    AI21 Labs Hackathon

    πŸ—“οΈ This will be a 7-day virtual hackathon from 13-20 January πŸ’» Access AI21 Labs' state-of-the-art language models to build innovative applications πŸ† Prizes and awards of up to $9000 API credits + $3500 cash πŸ’‘ Meet and learn from AI21 Labs and Lablab experts πŸ‘₯ Join the community and find your team βœ”οΈ All levels are welcome πŸ“– AI tutorials and mentors to help you ⭐ Receive a certificate of completion and Wordtune premium for submission πŸ±β€πŸ’» Sign up now! It’s free!

    AI21 Labs
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    WebGPU Hackathon

    πŸ”΄ An advanced-level hackathon ⏱ The one-day challenge πŸ§‘β€πŸ’» Build with the next-gen technology 🏁 Complete your app by the end!

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    StableCode 24-hours Hackathon

    Unveiling StableCode: The pinnacle of coding aid by Stability AI! Seamlessly integrate StableCode for efficient, smarter coding.

πŸ“ Certificates