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@dsgiitr

Data Science Group, IIT Roorkee

A student organisation driving innovation via Machine Learning.

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  1. d2l-pytorch Public

    This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

    Jupyter Notebook 4.3k 1.2k

  2. graph_nets Public

    PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

    Jupyter Notebook 1.2k 228

  3. VisualML Public

    Interactive Visual Machine Learning Demos.

    CSS 115 23

  4. AIKavach Public

    Python 33 6

  5. adversarial_lab Public

    Web-based Tool for visualisation and generation of adversarial examples by attacking ImageNet Models like VGG, AlexNet, ResNet etc.

    Jupyter Notebook 53 17

  6. reading-group Public

    Discussions on papers, frameworks, blogs and ideas every Saturday.

    Jupyter Notebook 61 36

Repositories

Showing 10 of 49 repositories
  • SADD Public
    Python 0 Apache-2.0 0 0 0 Updated Jul 11, 2025
  • dsg-website Public Forked from mmistakes/minimal-mistakes

    Website revamped in April 2025.

    HTML 0 MIT 27,006 0 2 Updated Jul 6, 2025
  • 0 19 0 12 Updated Jun 2, 2025
  • website Public

    The Data Science Group Website

    JavaScript 3 1 5 (1 issue needs help) 2 Updated Apr 26, 2025
  • feedCode Public

    FeedCode is an intelligent feedback tool that provides personalized code reviews based on your coding style and activity. It leverages machine learning to analyze your frequently solved coding problems and generates insightful, context-aware feedback to help you improve your code quality and optimization skills.

    CSS 0 2 0 0 Updated Apr 25, 2025
  • Python 2 1 7 2 Updated Apr 21, 2025
  • flux-watermarking Public

    Official Implementation of the paper WMARK@ICLR Detection Limits and Statistical Separability of Tree Ring Watermarks in Rectified Flow-based Text-to-Image Generation Models.

    Jupyter Notebook 4 MIT 0 1 0 Updated Apr 15, 2025
  • graph_nets Public

    PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

    Jupyter Notebook 1,204 228 1 2 Updated Mar 28, 2025
  • kge-clip Public

    Knowledge Graph Embeddings (KGE) for RAG-LLMs. Our goal was to compare the mathematical differences between Traditional Static Multimodal Vector Embeddings (TVE) from Word2Vec and CLIP encoders for {text:image} datasets, and Knowledge Graph Embeddings (KGE) generated with REBEL triplets trained on PyKeen.

    Jupyter Notebook 19 MIT 0 0 0 Updated Feb 16, 2025
  • PikaBot-RL Public
    Python 0 MIT 0 0 0 Updated Sep 23, 2024