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šŸ‘‹ Hi, I'm Paritosh

  • šŸ”­ Iā€™m currently working on and learning Semi/Self Supervised Learning and Clustering.
  • šŸŒ± Iā€™m currently a PhD candidate at the Robert Bosch Centre for Cyber-Physical Systems, IISc Bangalore, under Dr. Punit Rathore (webpage).
  • šŸ‘Æ Iā€™m looking to collaborate on projects that deploy ML models on the edge.
  • šŸ’¬ Ask me about DotA and prepare to loose at least 4 hours of your life.
  • šŸ“« How to reach me: [email protected]
  • šŸ“« LinkedIn: link

Paritosh Tiwari's Projects

custom_simclr icon custom_simclr

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

depth-anything icon depth-anything

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

github_welcome_wall icon github_welcome_wall

This is the official repository for the Towards Data Science Article, "WTH am I doing here? The absolute beginner's guide to Git and GitHub"

igtd icon igtd

Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks

ijepa icon ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

inc-sivat icon inc-sivat

The inc-siVAT provides an approximate visual footprint of cluster flow in the input stream.

invokeai icon invokeai

InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

isokernel icon isokernel

A scikit-learn-compatible module for Isolation Kernel with aNNE implemention.

kalman icon kalman

Kalman filter for trajectory prediction

llama2.c icon llama2.c

Inference Llama 2 in one file of pure C

logistic-regression-case-study---breast-cancer icon logistic-regression-case-study---breast-cancer

A case study on using Logistic Regression. The dataset is from UCI machine learning repository. This ML algorithm is optimized by using K-fold and grid search and comparison is shown in notebook

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