Sunil Kumar Pradhan

Python Developer

INTJ-A | I go to gym , I like to code (ofc with AI assistance) , I love Photography / Robotics .

[Sunil Kumar Pradhan @SunilINTJ]

If your strength is not increasing…
It’s rarely your training program.
It’s usually:

• Low total protein
• Poor distribution
• Long gaps without feeding

[Sunil Kumar Pradhan @SunilINTJ]

Most people think muscle growth is about total daily protein.
It’s not.

It’s about protein distribution.
You don’t build muscle by dumping 100g at night.

You build it by triggering growth multiple times a day.

Checkout the thread : 🧵

[Sunil Kumar Pradhan @SunilINTJ]

What works better:
25g post workout : Dope !!
25g mid morning : Dope !!
25–30g lunch : Dope !!
20–25g evening/dinner : Dope !!
4–5 protein spikes = 4–5 growth signals.
Better MPS

[Sunil Kumar Pradhan @SunilINTJ]

Preparing for AZ-900?
This site has 500+ real exam-style questions, mock exams, and focused practice quizzes .

I created this :
🔗 https://t.co/8jnN0TBAZM
Lemme know if you like it ? 😉
#AZ900 #MicrosoftAzure #CloudComputing #AzureCertification #TechCareers #ITCertification

[Sunil Kumar Pradhan @SunilINTJ]

@tom_doerr This is the download link :
https://t.co/H6bR5xtJKH

[Sunil Kumar Pradhan @SunilINTJ]

I recently worked on a project where I had to automate Git workflows using Python.

I planned to create a server to interact with the GitHub API, but then I discovered GitPython: https://t.co/QesQJxEkDT

Try it out — it's dope!

[Sunil Kumar Pradhan @SunilINTJ]

Broadcasting is the mechanism that allows element-wise operations on arrays of different shapes by "stretching" the smaller array to match the larger one.

#ML #NumPy

Refer this :

[Sunil Kumar Pradhan @SunilINTJ]

Back after a long break.

Diving deeper into ML, AI, GenAI.
Looking to connect with people working on
#MachineLearning #ArtificialIntelligence #GenerativeAI #LLM #MLOps #DeepLearning #AICommunity
If you're working on interesting or building something impactful, let’s connect !

[Sunil Kumar Pradhan @SunilINTJ]

No I am not . 😂 #pizzahut

[Firebase @Firebase]

Meet Firebase Studio: A cloud-based, agentic dev environment powered by Gemini ✨💻✨

Find everything you need to prototype, build, and run production-quality full-stack AI apps quickly and safely.

Learn more about building AI apps with Firebase → https://t.co/UeoefxN82t

#GoogleCloudNext

[Jack Morris @jxmnop]

this guy invented VLLM. he's basically the john wick of CUDA kernels

[Marko Denic @denicmarko]

Quickly and easily create a CSS Grid layout for your website!

[Sunil Kumar Pradhan @SunilINTJ]

@EdoMiglioli @MarcelFromMimic It's has some margin issues I guess in movies view.

The horizontal navbar should not be there.

[hal @HAL09999]

∭ 𝘢(𝘵) ∝ eᴴᵗ

[Bilawal Sidhu @bilawalsidhu]

Wow. Recreating the Shawshank Redemption prison in 3D from a single video, in real time (!)

Just read the MASt3R-SLAM paper and it's pretty neat. These folks basically built a real-time dense SLAM system on top of MASt3R, which is a transformer-based neural network that can do 3d reconstruction and localization from uncalibrated image pairs.

The cool part is they don't need a fixed camera model -- it just works with arbitrary cameras -- think different focal lengths, sensor sizes, even handling zooming in video (FMV drone video anyone?!). If you've done photogrammetry or played with NeRFs you know that is a HUGE deal.

They've solved some tricky problems like efficient point matching and tracking, plus they've figured out how to fuse point clouds and handle loop closures in real-time.

Their system runs at about 15 FPS on a 4090 and produces both camera poses and dense geometry. When they know the camera calibration, they get SOTA results across several benchmarks, but even without calibration, they still perform well.

What's interesting is the approach -- most recent SLAM work has built on DROID-SLAM's architecture, but these folks went a different direction by leveraging a strong 3D reconstruction prior. Seems to give them more coherent geometry, which makes sense since that's what MASt3R was designed for.

For anyone who cares about monocular SLAM and 3D reconstruction, this feels like a significant step toward plug-and-play dense SLAM without calibration headaches -- perfect for drones, robots, AR/VR -- the works!

[Tom Dörr @tom_doerr]

Network IP scanner with web interface

[GitHub Projects Community @GithubProjects]

Open-source push notifications system across devices

[AK @_akhaliq]

github: https://t.co/AzxUObB47o