Use deep learning to detect skin anomalies by taking a photo of your skin with a smartphone in order to prevent future skin diseases.
An AI Personal Training App
Automated traffic violation detector
Understand Human, Predict Future
Building a deep learning model to detect and classify the bird in the world
SynaNN, inspired by synapses research in neuroscience, shows special features and high performance to apply synapses and deep learning to implement image classification with MNIST dataset by Pytroch.
Implementations of the state of the art algorithms like QuatE, ComplEx, and HOLE for learning knowledge graph embeddings for relations and entities.
autoencoder trained on BOLD5000 dataset
A fast and efficient framework for training hierarchical RL models in pytorch.
Machine learning project
Model to detect change in water bodies
A Machine Learning Approach to build a robust model to predict a clients' Credit Score (Loan Eligibility).
Global Oveheating is becoming most important issue worldwide. Amout of fake news and information is overhelming. Let's check false claims with reality in a simple and quick way.
Visualisation toolkit for neural networks in PyTorch - towards explainable and interpretable AI!
A research-first framework for punctuation restoration in any language. Define a model's forward method, and the framework does the rest!
Design flexible, complex environments for your reinforcement learning project using free and lightweight open-source engine Godot.
The deep platform keeping your head above water.
Spot malwares using Machine Learning techniques
Analyze chess position from any website, image or video.
I attempted to solve the multi-label classification problem using 2 layer Bi-LSTM .
SeeMe is a visual quality inspection system utilizing manufacturing process.
Manually DR detection is hard and need more resources; we will build a deep learning system for early DR detection witch has a high impact to avoid blindness.
Language learning system for people who want to learn new words by asking about what they see.
Easily search videos based on semantic content without the need for manual labelling.