Nabin yadav

Attention Is All You Need

[Túndé 🇺🇸👨🏾‍💻 @__jot]

How my team @NextBuildr (@nabin_yd_ @codesbycent @hyemanBuba @lazy_kcee ) entered @MSFTImagine Imagine Cup, 2025 and built @Lingroks - an AI-powered platform breaking language & accessibility barriers, powered by @Azure AI services.
From an idea to a product, here's our journey👇

[Rohan Paul @rohanpaul_ai]

A Redditer automated Leetcode using Claude’s 3.5 Sonnet API and Python. The script completed 633 problems in 24 hours, completely autonomously. It had a 86% success rate, and cost $9 in API credits.

Now the point is, we are in the 4th quarter of 2024, and it's not all surprising that LLMs will perform very well on familiar data.

What's surprising is that companies persist in evaluating job candidates using questions the applicants have specifically prepared for months and in many cases have memorized some 200-250 common problems in Leetcode.

[Nabin yadav @nabin_yd_]

I just published an article on Medium
How to delete a secret file from past github commits https://t.co/pyWIvPfbHP

#Medium #GitHub

[Nabin yadav @nabin_yd_]

I'm excited to share that I’ve received goodies, and a certificate from Leapfrog! 🎉

@lftechnology
#60DaysOfLearning2024
#LearningWithLeapfrog

[Nabin yadav @nabin_yd_]

Here you can find my 60 days of learning journey:
Github: https://t.co/9lOgBe6DV8

[Nabin yadav @nabin_yd_]

Day 60: Overviewed the entire 59-day journey of deep learning with PyTorch. From basic tensor operations to deploying advanced models like TinyVGG, EffNetB2, and ViT. Built and deployed interactive Gradio apps. #LSPPDay60 #60DaysOfLearning2024 #LearningWithLeapfrog @lftechnology

[Nabin yadav @nabin_yd_]

Day 59: Successfully deployed Foodvision big model to Hugging Face space!!!

Github: https://t.co/voVesAxxWR

Model link: https://t.co/8WQUWahoSA

#LSPPDay59 #60DaysOfLearning2024 #LearningWithLeapfrog @lftechnology

[Nabin yadav @nabin_yd_]

Checkout here:
https://t.co/voVesAxxWR

[Nabin yadav @nabin_yd_]

Day 58: Created a model and transforms for FoodVision Big, experimented with a subset of Food101, datasets into DataLoaders, trained the model, inspected loss curves. Checked model size too!

#LSPPDay58 #60DaysOfLearning2024 #LearningWithLeapfrog @lftechnology

[Nabin yadav @nabin_yd_]

Food vision mini Model is Live at:
Link: https://t.co/PWoYShWEuc

Github: https://t.co/voVesAxxWR

[Nabin yadav @nabin_yd_]

Day 57: Turned our FoodVision Mini Gradio Demo into a deployable app. Learned about Hugging Face Spaces, structured and created necessary files, and successfully deployed our app to Hugging Face.

#LSPPDay57 #60DaysOfLearning2024 #LearningWithLeapfrog @lftechnology

[Nabin yadav @nabin_yd_]

This model is live for 72 hours only

Checkout here:
Github: https://t.co/voVesAxxWR

Model Live:
https://t.co/M3Ca7fqfyx

[Nabin yadav @nabin_yd_]

Day 56: Comparing model results, prediction times, and size. Visualizing speed vs. performance tradeoff. Bringing FoodVision Mini to life by creating a Gradio demo.
Live Model Link: https://t.co/M3Ca7fqfyx

#LSPPDay56 #60DaysOfLearning2024 #LearningWithLeapfrog @lftechnology

[Nabin yadav @nabin_yd_]

Checkout here: https://t.co/voVesAxxWR

[Nabin yadav @nabin_yd_]

Day 55: Worked on making predictions with our trained models and timing them. Function to make predictions across the test dataset, and compared results, prediction times, and sizes for EffNetB2 and ViT.

#LSPPDay55 #60DaysOfLearning2024 #LearningWithLeapfrog @lftechnology

[Nabin yadav @nabin_yd_]

Day 54: Created a ViT feature extractor, including dataloaders, training, and inspecting loss curves. Saved the feature extractor, checked its size, and collected stats.
Github: https://t.co/voVesAy5Mp

#LSPPDay54 #60DaysOfLearning2024 #LearningWithLeapfrog @lftechnology

[Nabin yadav @nabin_yd_]

Day 53: Created an EffNetB2 feature extractor, including functions, DataLoaders, training, and inspecting loss curves. Saved the feature extractor and checked its size.
Github: https://t.co/voVesAxxWR

#LSPPDay53 #60DaysOfLearning2024 #LearningWithLeapfrog @lftechnology

[Nabin yadav @nabin_yd_]

Day 52: Covered PyTorch model deployment, including setup, device-agnostic code, and data acquisition. Outlined FoodVision Mini model deployment experiment.

Github: https://t.co/voVesAy5Mp…

#LSPPDay52 #60DaysOfLearning2024 #LearningWithLeapfrog
@lftechnology

[Nabin yadav @nabin_yd_]

Checkout here: https://t.co/wZu2GN8yun

[Nabin yadav @nabin_yd_]

Day 51: Discussed training setup gaps, and used a pretrained ViT model. Prepared data, trained feature extractor ViT model, plotted loss curves, and saved the best performing model.

#LSPPDay51 #60DaysOfLearning2024 #LearningWithLeapfrog @lftechnology