automating the hooli roof
Machine-learning data-analysis web app quantifying the effects of various factors on poverty
An automated end-to-end pipeline for dataset discovery, collection, and model building. Classification simplified.
Anonymous posts are vital to all communities. Big Red Confession Wall allows people to freely and anonymously voice their ideas.
A deep learning application with iOS end to learn about user room style and recommend new furniture, and visualize furniture in their room using augmented reality
A research toolkit for understanding how misinformation flows through a social network using dynamic system simulation and graph neural networks
Preprocess selected classical music and train a GAN to attempt creation and discrimination of the GAN based on significant characteristics learned from a generated spectrogram waveform.
Unleash the power of your hand and automate anything
Automated task/test framework for differentiable software.
PytorchCV allows users to easily annotate images using a label system for classification problems, a bounding box for localization, and a polygon tool or freehand selection for segmentation tasks.
Helps report suicidal tendencies using NLP sentiment analysis, and connects users with help.
"Stop thinking with your head" - Making a simple, small, and fast experimental architecture based on RNNs that emulates Transformers
To help people create and automate quality social media post to bring more traffic and awareness to their brand. Beside, it also a machine to help people think about the content with image or text.
Making the world a better place one posture at a time
Democratizing healthcare with AI to uplift underprivileged communities
Low cost solution to detect pneumothorax using raspberry pi for remote areas where there are no radiologist.
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
End-to-end music demixing with PyTorch
We will create an end-to-end Deep learning solution for Chest X-ray diagnosis. It will be a cost-effective solution for rural population with inadequate access to diagnostic imaging specialists.
Generate Music with AI
Pyteak uses pytorch as an inference engine to detect disease in livestock, especially in chicken (newcastle disease only for now)
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
A Python library for recommender system. RecLib makes it easy to design and evaluate deep learning models for recommender system, along with the infrastructure to easily run them in the cloud.
4x faster pinned CPU -> GPU data transfer than Pytorch pinned CPU tensors, and 110x faster GPU -> CPU transfer. Augment parameter size by hosting on CPU. Use non sparse optimizers for sparse training