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Works with python- Deep Learning

ajithvallabai Google Scholar ajithvallabai ajithvallabai

  • 💬 I like to work on MLOps, Computer Vision. I am actively seeking collaboration opportunities in MLOps projects.

  • 📫 I am currently focusing on developing MLOps projects. If you share the same interest, feel free to reach out to me at [email protected], and let's collaborate on building impactful projects together.

  • 🎥🔥 I have a youtube channel focusing on devops and mlops projects - @ajithvcoder - Kindly subscribe if it aligns with you.

Research paper Implementations

S No Repo Name Status Details
1 DeepMTH Net Compeleted DL model on person attribute recognition
2 Circle-U-Net Completed DL model on image segmentation
3 CAAE-Age-Regression-Progression Completed Age GAN with colab implementation

Knowledge Sharing Contributions

S No Repo Name Status Details
1 Deep Fakes Audio & Video Completed Given a image you can make it speak and provide voice
2 Custom Multiobject Multiinstance Tracking Completed Tracking custom object with colab
3 Pretrained Models to process images and visuvalize layers(keras) Completed Basic DL
4 Planercnn Customimages Completed Tried to train planercnn on custom images
5 Basic Opencv Projects Compelted Basic projects
6 Basic Python3 Projects Completed Basic projects
7 CPP based Computer vision Projects On Hold Basic projects
8 Build Train Deploy 10 AI apps Currently Working Deploying 10 AI apps
9 GAN_Unlocked On Hold GAN works
10 Building Custom loss functions On Hold Study and create custom loss functions
11 Custom Computer Vision Projects 2d Collection On Hold Perfoming custom Computer vision projects
12 Computer Vision Loss function Collection 2d On Hold Collection of loss functions used in 2d Computer Vision

Course Works

S No Repo Name Status Details
1 Extensive Vision AI(EVA) Completed DL & RL Course
2 Extensive Python and Pytorch for AI(EPAi) Completed Python & Pytorch course

ajithvcoder

 ajithvcoder

Ajith's Projects

awesome-colab-zoo icon awesome-colab-zoo

Repo contains links or codes for running most popular deep learning pretrained models in colab

awesome-rcnn icon awesome-rcnn

Contains detials of extra ordinary capability of RCNN genre

building_custom_loss_functions icon building_custom_loss_functions

This repo will contain detailed and more visualized tutorials on writing custom loss functions. Scope will be ranging from basic neural networks to RL

circle-u-net icon circle-u-net

Implementation of Circle U-Net , https://www.mdpi.com/1999-4893/14/6/159/htm

deep_mth_net icon deep_mth_net

Implementation of DeepMTH Net (Deep multi tower head Network) https://dl.acm.org/doi/abs/10.1145/3447450.3447470

epai icon epai

Contains assignments of EPAi course from The School of AI (https://theschoolof.ai/)

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