Convolutional Neural Network inference library running on CUDA
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Updated
May 23, 2024 - Cuda
Convolutional Neural Network inference library running on CUDA
A brain tumor detection app using Keras hosted on Streamlit
High-efficiency floating-point neural network inference operators for mobile, server, and Web
EBOP Model Automatic input Value Estimation Neural network
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels, ResNet-like and DenseNet-like models, training code based on accelerate/PyTorch, as well as scripts for experiments with CIFAR-10 and Tiny ImageNet.
Using CNN to identify tree leaves.
A large-scale dataset of both raw MRI measurements and clinical MRI images.
A CNN-based method for recommending music by analyzing emotional cues from facial expressions and user interactions, enhancing real-time emotion recognition for better decision-making.
3D Neural Denoising for Track Reconstruction and Pattern ID @ LHCb TORCH Detector
This toolkit is a curated collection of machine learning projects, resources, and utilities designed to assist both beginners and seasoned practitioners in their journey through the fascinating world of machine learning.
End to End production grade brain tumor classification system
American Sign Language (ASL) Detection using CNN
Open source Python library for building bioimage analysis pipelines
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
This repository contains codes of various state-of-the-art methods and research papers for Liver Tumor Segmentation
Investigate the influence of hybrid modelling on deep learning-based MRI reconstruction performance. This was done using the fastMRI dataset.
Pre-trained models and utilities for deep learning on medical images in Python
Demos of various data science projects I completed - August 2023 to present. Mostly Module Assignments from MIT Course. Will add personal projects in the future here as well.
The repository focuses on developing a comprehensive business opportunity analysis system that uses geospatial data, sentiment analysis, and topic modeling. The objective is to leverage these techniques to identify and evaluate potential business opportunities in area of interest.
moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.
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