Pinned Repositories
GSOC
This is the documented Repository for my GSoC 2022 project
Project460
This is the offiicial repo containing the codes for project460
SYMMETRY
Advance-Computational-Physics
GSoC-2023-Evaluation-Test
CMS-GSoC-2022
Repo containing Evaluation test solutions for CMS project GSoC 2022.
P452
Repository for the codes/assignments for P452 (NISER).
23cs460
CS 460: Machine Learning in School of Computer Sciences - 2022-23 Even
23cs461
2023-24 Odd Semester - Advanced Machine Learning
461
dc250601's Repositories
dc250601/ELSA
dc250601/BotNet
dc250601/cmssw
CMS Offline Software
dc250601/P452
Repository for the codes/assignments for P452 (NISER).
dc250601/MHD.github.io
dc250601/SYMMETRY
dc250601/23cs461
2023-24 Odd Semester - Advanced Machine Learning
dc250601/461
dc250601/E2E
dc250601/GSoC-2023-Evaluation-Test
dc250601/Project460
This is the offiicial repo containing the codes for project460
dc250601/23cs460
CS 460: Machine Learning in School of Computer Sciences - 2022-23 Even
dc250601/Perlmutter
dc250601/ML_Tau
dc250601/Computation_p_Lab
This repository hosts all the codes, reports and associated files of the course
dc250601/GSOC
This is the documented Repository for my GSoC 2022 project
dc250601/QMLHEP
dc250601/CMS-GSoC-2022
Repo containing Evaluation test solutions for CMS project GSoC 2022.
dc250601/temp
Testing out ensemble techniques.
dc250601/TPU_Codes_GSoC
dc250601/swin-transformers-tf
Implementation of Swin Transformers in TensorFlow along with converted pre-trained models, code for off-the-shelf classification and fine-tuning.
dc250601/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
dc250601/DeepLense-Submission
Submission Respository for Evaluation Tests of ML4SCI GSoC 2022
dc250601/EscVM_YT
EscVM YouTube Channel Repository
dc250601/coatnet-pytorch
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes".
dc250601/qcnn-hep
A Google Summer of Code 2021 Project Repository. This project aims to demonstrate quantum machine learning's potential, specifically Quantum Convolutional Neural Network (QCNN), in HEP events classification from particle image data. The code used in the research is wrapped as an open-source package to ease future research in this field.