deeo-learning

High performance, cross-platform machine learning for Unity Engine.

Improved StyleGAN Embedding: Where are the Good Latents?

Failure detection module for 3D printing using Computer Vision

Get different poses of the body in real time.

Realtime Face Mask Detection is the subject of the project proposal. We present a deep learning and computer vision-based mask face identification algorithm. As an object detection technique, deep learning was applied

Some Key Points from the Deep Learning Tuning Playbook

The Video/Audio Summarization Application transcribes and summarizes lengthy audio or video files, helping users quickly access key information. Using Wav2Vec 2.0 for accurate transcription and a summarization model, it provides concise, digestible summaries. With a user-friendly interface, it's suitable for both academic and professional use.

In silico model for predicting of Interleukin-6 inducing peptides

User can draw a digit on a grid and then the model predicts the digit and renders the prediction | Scipy, Numpy, Scikit-Learn, TensorFlow, Keras, Pygame

A plant leaf disease identifier model based on a ResNet9 architecture

From-scratch Neural Network framework in Python using NumPy. Implements dense layers, forward/backpropagation, gradient descent, ReLU/Tanh activations, MSE loss, and demonstrates learning on XOR and MNIST without TensorFlow or PyTorch.

Semi-Supervised Domain Adaptation (SSDA) with Correlation Alignment (CORAL). In this Tutorial we are using MNIST(Source Domain) and SVHN (Target Domain) datasets

A web-based deep learning tool using MobileNetV2 to classify 7 types of skin diseases from the HAM10000 dataset.

Separable Convolution Layers

DCNN: Deformable Convolutional Neural Network Implementation from scratch

Rust implementation of the Multiscreen neural language-model block. 🦀

Human Activity Detection using Machine Learning algorithms from Smart-watch data.

Beginner-friendly notes and resources on Natural Language Processing (NLP), covering text preprocessing, vectorization, embeddings, models, and project pipeline.

Real-time facial emotion recognition system using deep learning and transfer learning models.

developed a CNN model which classifies image of nature as Glacier, Mountain, Sea, Forest, Building or Street