Visualizer for neural network, deep learning and machine learning models

Utilizing Recurrent Neural Networks (RNNs) to predict the types of cyberbullying in tweets

A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.

Just some notebooks I wrote to research some fun stuff in hobby time

Study about Artificial Intelligence 🤖, Machine Learning 🚀, and Deep Learning 🧬. Plus, Electrical Engineering ⚡ and Computer Science 💻.

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.

Repo explaining basic ways to use ONNX with different frameworks

🤖 DeepCaptcha Solver 🚀 | A cutting-edge deep learning model for solving CAPTCHA images with high accuracy using CNNs and Keras. 🌟

Constructed an advanced deep learning model utilizing TensorFlow and CNN to precisely classify bird species from audio inputs. Leveraging Librosa for audio processing, the model is trained on extensive bird sound datasets to ensure robust performance. Integrated with Hugging Face, our application facilitates seamless uploading of bird sound samples

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HMS - Harmful Brain Activity Classification. Utilizing electroencephalography (EEG) signals, this repository aims to detect, classify, and analyze seizures as well as other forms of harmful brain activity.

A modular inverse QSAR pipeline

⚡ A Fast, Extensible Progress Bar for Python and CLI

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.

Implementation of DFMR for Multimodal Sentiment Analysis in Malayalam (Native Indian Dravida Language)

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