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Reading documentation of things I won't ever use :-P
📜
Reading documentation of things I won't ever use :-P
103 followers · 114 following

Achievements

Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2

Achievements

Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2

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suvadityamuk/README.md

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  • 🔭 I’m currently working on Deep Learning in Computer Vision and research towards Vision and ML Models
  • 📢 I talk about Deep Learning, MLOps, Computer Vision and Neuroscience research
  • 🌱 I’m currently learning Advanced MLOps and Diffusion Models using TensorFlow/Keras
  • 📂 I'm currently contributing to Keras.io, Ivy and KerasCV
  • 📫 How to reach me:
  • 😄 Pronouns: He/Him
  • ⚡ Fun fact: I like to work with developers across the globe and have been contributing actively to events as speaker at conferences across India, organizer at Google Developer Student Clubs NMIMS MPSTME (Lead '21) and volunteer at Google Developer Groups Cloud Mumbai.
  • 👯 Interests : I’m looking to collaborate on Deep Learning Theory & Computer Vision research, Data Science and Machine Learning based problems, MLOps
  • 📺 I'm currently watching Modern Family
  • 💬 Ask me about Deep Learning, Vision models and how to deploy them using GCP

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  1. Temporal-Latent-Bottleneck-TF Temporal-Latent-Bottleneck-TF Public

    An unofficial implementation of the paper "Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning"

    Jupyter Notebook 6

  2. Inception-ResNet-V2-FaceRecognition Inception-ResNet-V2-FaceRecognition Public

    A from-scratch implementation in PyTorch of the Inception-ResNet-V2 model designed by Szegedy et. al., changed for face-emotion recognition

    Jupyter Notebook 2

  3. SWIN-TorchvisionHub SWIN-TorchvisionHub Public

    A JupyterNotebook-based using example of the SWIN Transformer presented by Liu et. al. from Torchvision on CIFAR-100 images

    Jupyter Notebook 3

  4. ChaosEngineeringExperiment ChaosEngineeringExperiment Public

    A simple Chaos-engineering experiment example using Kubernetes (Minikube) and Chaos-Mesh

    Python 2

  5. KerasDocker KerasDocker Public

    A sample Keras MobileNetV2 application instance pre-trained on ImageNet, built as a container image via Docker and gunicorn

    Python 1 4