Yash Thube

Yash Thube

Deep Learning & chAI☕

Hey there! (❁´◡`❁)

multimodality

How are you guys doing?

Well, I’m doing great just like you…Thanks for asking, btw! 😊 Here’s a glimpse into the things that light up my world!

🤖 I have a deep curiosity and research interests in exploring Multimodal Learning, particularly VLM’s & Diffusion models with insights from Computer Vision (CV) and Deep Reinforcement Learning (RL).

📚 I have a borderline obsession with research papers. Check out my Reading List for what’s been keeping me up lately!

✍️ I enjoy jotting down my thoughts. You can find my blogs on Medium, Towards AI and InPlainEnglish.

🌿 Outside of work, you’ll find me clicking random pictures, exploring astrophysics, or playing and watching a variety of sports!! - be it football, cricket, MMA, or Esports. A good book recommendation or a meaningful conversation? I’m all ears!

🔧Personal ML Toolkit

Here’s a curated list of my go-to tools and libraries:

For Vision Tasks🖼️

  • OpenCV: Versatile for image preprocessing and augmentation.
  • PyTorch and torchvision: Perfect for implementing custom CNNs and Vision Transformers.
  • YOLO: My favorite for real-time object detection, especially in sports analytics.
  • TensorFlow & Keras: Excellent for rapid prototyping and deploying pre-trained models.
  • Scikit-Image: Ideal for advanced image processing tasks like segmentation and denoising.
  • Pillow: Perfect for quick image transformations like resizing, cropping, and format conversion.

For NLP Tasks📝

  • Hugging Face Transformers: Simplifies using SOTA NLP models like BERT and GPT.
  • NLTK & SpaCy: Handy for preprocessing and annotating text data efficiently.

For Experiment Tracking📊

  • Weights & Biases (W&B): Makes model tracking and optimization seamless with intuitive visualizations.

For Deployment🚀

  • AWS SageMaker: Simplifies scaling ML experiments to production.
  • Hugging Face Spaces: Allows to create interactive demos with ease.

🤔What Keeps Me Inspired

All things ML

📖Understanding Deep Learning by Simon Prince and Machine Learning Specialization by Stanford.
📰Newsletters like The Batch (Deeplearning.AI) and TL;DR AI.
🎥Channels like DeeplearningAI, Two Minute Papers, Stanford Online, 3Blue1Brown, WorldofAI and many more.
🌟People like Andrew Ng, Aleksa Gordić, Andrej Karpathy, Ilya Sutskever, Yann LeCun, Lex Fridman and so many moree!

Beyond ML

📚Books(have read and recommended!): Eat That Frog, Cosmos, Ikigai, Brave New World, Fahrenheit 451, Astrophysics for people in a hurry.
🎥Channels like Kurzgesagt, StarTalk, TED, Discover Connection, The Infographics Show, Veritasium and Bright Side.

👇Interesting Podcasts/Documentries/Projects