jagdeeshgughalot
Passion for Learning. I am good flute player and Piano player, Sitar, vocal and tabla player
ClaimGeniusHyderabad
Pinned Repositories
awesome-ai-cancer
Awesome artificial intelligence in cancer diagnostics and oncology
awesome-cell-detection-segmentation
nucleus/cell and histopathology image classification,detection,segmentation
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
BitNet
Official inference framework for 1-bit LLMs
Breast-Cancer-Detection
AI app to detect breast cancer in histopathological database
ColonTissueSegCls
MICCAI 2019 Grand Challenge for Pathology - Digestive-System Pathological Segmentation Challenge
d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions
deep-histopath
A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
TensorBoard
Visualize Loss and accuracy for Mnist data-set
jagdeeshgughalot's Repositories
jagdeeshgughalot/TensorBoard
Visualize Loss and accuracy for Mnist data-set
jagdeeshgughalot/awesome-ai-cancer
Awesome artificial intelligence in cancer diagnostics and oncology
jagdeeshgughalot/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
jagdeeshgughalot/BitNet
Official inference framework for 1-bit LLMs
jagdeeshgughalot/Breast-Cancer-Detection
AI app to detect breast cancer in histopathological database
jagdeeshgughalot/ColonTissueSegCls
MICCAI 2019 Grand Challenge for Pathology - Digestive-System Pathological Segmentation Challenge
jagdeeshgughalot/d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions
jagdeeshgughalot/deep-histopath
A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
jagdeeshgughalot/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
jagdeeshgughalot/digital-image-analysis-sulli
Tumor classification. TF Slim implementation of Camelyon 16 challenge (WIP)
jagdeeshgughalot/Gleason
My code using PSPNet for MICCAI Gleason Challenge 2019
jagdeeshgughalot/gleason_CNN
jagdeeshgughalot/gleason_gcnn
Multiscale descriptors and GCNN for Gleason Grading and Survival
jagdeeshgughalot/gleason_grade
Code for gleason grading a whole slide in 1 minute or less
jagdeeshgughalot/gluoncv-torch
PyTorch API for GluonCV Models
jagdeeshgughalot/jagdeeshgughalot.github.io
jagdeeshgughalot/Knowledge-Distillation
Blog https://medium.com/neuralmachine/knowledge-distillation-dc241d7c2322
jagdeeshgughalot/Knowledge-Distillation-in-Keras
Demonstrates knowledge distillation for image-based models in Keras.
jagdeeshgughalot/LiverCancerSeg
MICCAI 2019 Grand Challenge for Pathology - PAIP2019: Liver Cancer Segmentation
jagdeeshgughalot/LLM
jagdeeshgughalot/LLMs-Interview-Prep-Guide
Welcome to the LLMs Interview Prep Guide! This GitHub repository offers a curated set of interview questions and answers tailored for Data Scientists. Enhance your understanding of Large Language Models, prepare for technical interviews, and excel in the evolving landscape of data science with a focus on LLM applications.
jagdeeshgughalot/metastaticcellclassifier
This is a metastatic breast cancer cell detector in the browser developed for the Radboud Science Award
jagdeeshgughalot/Mobilenet-Keras
Implementation of mobilenet on keras
jagdeeshgughalot/models
A collection of pre-trained, state-of-the-art models in the ONNX format
jagdeeshgughalot/neural-odes-segmentation
Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
jagdeeshgughalot/Neural-Style-Transfer
jagdeeshgughalot/saunet-unet
saunet-unet
jagdeeshgughalot/swarm
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
jagdeeshgughalot/teachable-machine
Explore how machine learning works, live in the browser. No coding required.
jagdeeshgughalot/YOLO_V3_from_scratch_colab-master
yolo for sample image