Open standard for machine learning interoperability

Plant disease detection from leaf uses machine learning to identify diseases for early intervention

I used the MNIST dataset for the implementation of a handwritten digit recognition app. To implement this, will be using a special type of deep neural network called Convolutional Neural Networks. In the end, I also build a Graphical user interface(GUI) where you can directly draw the digit and recognize it straight away.

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

An ASL detection script utilizing a TensorFlow image classification model trained from scratch. It is tailored to recognize American Sign Language (ASL) alphabet letters from live video streams, and provides documentation covering the neural network architecture, installation, dataset details, training procedures, and real-time detection.

Automated detection of COVID-19 in real time can greatly help clinicians to handle increasing number of cases for preliminary screening. Deep CNN models trained with sufficiently large datasets may become best candidates to meet the purpose.

EBOP Model Automatic input Value Estimation Neural network

Exploring the depths of generative learning with a $\beta$-Variational Autoencoder ($\beta$-VAE) applied to the MNIST dataset for robust digit reconstruction and latent space analysis.

🍇🔍 Fruit Detector: A machine learning model to identify fruits from images, powered by TensorFlow and Keras. Train the model, predict fruits, and explore the world of AI fruit recognition! 🍓🍍

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

The code for the work presented in the research paper titled "Inverse Design of Octagonal Plasmonic Structure for Switching Using Deep Learning"

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Visualizer for neural network, deep learning and machine learning models

Machine learning on FPGAs using HLS

A chess engine taught by supervised ensemble learning. Playable in a Django Web Framework front end.

A project for lung disease detection and analysis using deep learning. It includes lung segmentation, disease classification, and severity localization with Grad-CAM for visual explanations. This repository provides code, datasets, and documentation for replication and further research.

Generative modeling of synthetic time series data and time series augmentations

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Repo explaining basic ways to use ONNX with different frameworks