@TensorFlow__JS |@tfugdurg Organizer
So Tip from my side (P.S~ From Steve Job):
So Tip from my side (P.S~ From Steve Job):
Now the question arises who will fund those people
Specially in India 🙏
Now the question arises who will fund those people
Specially in India 🙏
Hopefully it will become best
Hopefully it will become best
What year did you start using GitHub?
What year did you start using GitHub?
Or is just with my OS 🥲🥹
Or is just with my OS 🥲🥹
Efficient data loading is crucial for JAX-based ML workflows, and we're making it easier than ever!
Efficient data loading is crucial for JAX-based ML workflows, and we're making it easier than ever!
Wanna Check out???
Here's the link: notebooklm.google.com
Wanna Check out???
Here's the link: notebooklm.google.com
Online Tool is not for me I guess
Online Tool is not for me I guess
Read here: medium.com/google-developer-experts/building-an-efficient-dataloader-in-jax-from-scratch-to-production-f8909ca563bc
Read here: medium.com/google-developer-experts/building-an-efficient-dataloader-in-jax-from-scratch-to-production-f8909ca563bc
Effortlessly load and preprocess datasets for JAX with a simple, efficient API.
💡 Features:
✅ Optimized for JAX
✅ Easy-to-use DataLoader
✅ Lightning-fast batch processing
Try it now: pip install jax-dataloaders
🔗 pypi.org/project/jax-...
Effortlessly load and preprocess datasets for JAX with a simple, efficient API.
💡 Features:
✅ Optimized for JAX
✅ Easy-to-use DataLoader
✅ Lightning-fast batch processing
Try it now: pip install jax-dataloaders
🔗 pypi.org/project/jax-...
✨ Generate clear documentation
🤖 Summarize complex code
🔍 Ask AI-powered questions
Built with Vertex AI, FastAPI & React, using RAPTOR summarization
📖 Read the blog: medium.com/google-devel...
✨ Generate clear documentation
🤖 Summarize complex code
🔍 Ask AI-powered questions
Built with Vertex AI, FastAPI & React, using RAPTOR summarization
📖 Read the blog: medium.com/google-devel...
github.blog/engineering/...
github.blog/engineering/...