Skip to content
View avihaig's full-sized avatar

Block or report avihaig

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. dlogps dlogps Public

    Which Structural Prior Belongs in Global Attention? A Controlled Study of a Hybrid Graph Transformer as a Cable-Dynamics Model

    Python

  2. tiny-nerf-pytorch tiny-nerf-pytorch Public

    A minimal, educational implementation of NeRF in PyTorch. Focused on understanding the core MLP-based implicit representation

    Python 1

  3. Computer-Vision---Object-Tracking Computer-Vision---Object-Tracking Public

    "Highway Surveillance Video Analysis: Explore object detection and vehicle path tracking in real-time. Python-based repository utilizing OpenCV and advanced computer vision techniques. Contribute t…

    Python 1

  4. Machine-Learning---CoronaVirus-Dataset Machine-Learning---CoronaVirus-Dataset Public

    "COVID-19 Data Analysis Repository: Delve into comprehensive insights using Python, Scikit-learn, Seaborn, and other data science packages. Analyze the coronavirus dataset to discern patterns and …

    Jupyter Notebook 1

  5. Deep-Learning---RNN-using-LSTM-and-GRU Deep-Learning---RNN-using-LSTM-and-GRU Public

    RNN model with LSTM and GRU architectures for language modeling on the Penn Treebank dataset. It includes model training, testing, and evaluation with various configurations, such as dropout and le…

    Jupyter Notebook 1

  6. Deep-Learning--Stock-Market-Prediction Deep-Learning--Stock-Market-Prediction Public

    Comparison of Mamba Model and LSTM for stock trading predictions. Mamba Model outperformed LSTM (RMSE: 0.0323 vs. 0.1939) with fewer parameters and more efficient computation, making it a better ch…

    Jupyter Notebook 9 1