A browser extension, adding social and collaborative layer to your Internet browsing experience.
Decentralize URL shortener service enabled by the NOSTR protocol, that is fast and fuss-free.
Free, open source, and decentralized password manager, utilizes zero-knowledge encryption and storing on the NOSTR network.
Communities for everyone. A censorship-resistant app where users curate contents in communities, enabled by the NOSTR protocol.
Open-source library providing numerous tools to easily build powerful dApps on the Cardano blockchain.
Open-source library that makes it easy to build NOSTR applications.
Learning Management System, skill and contribution tracking, treasury management and smart contract.
Creates a community of developers and build a set of tools to bring decentralize education and organization.
A learning platform to learn Cardano development and to create a community of developers and contributors.
Discord integrated AI to learn knowledge about the community and answer questions in real time.
splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.
Pull stock prices from online API and perform predictions using Recurrent Neural Network and Long Short-Term Memory (LSTM) with TensorFlow.js framework.
A reinforcement learning agent playing as the turret, where its goal is to allow ten friendly units to enter the base, and loses if an enemy unit has entered the base or if two friendly units were shot.
A research study to design a series of experiments to discover if performing visual field tests via brain-computer interface (BCI) is feasible.
Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free user-independent solution, desirable for clinical diagnostics. A stepping stone for an objective assessment of glaucoma patients’ visual field.
Reinforcement learning algorithm for agents to learn the tic-tac-toe, using the value function. Train the agent to play tic-tac-toe, by having 2 agents play against each other through simulation. You can experiment by adjusting 2 parameters, 1) learning rate and 2) probability of exploration of each agent. After training, try playing against the agent.
Predicting Stock Prices with Deep Learning. Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM
Universal Sentence Encoder (Cer et al., 2018) is a language model that encodes text into fixed-length embeddings. It aims to convert sentences into semantically-meaningful dense real-valued vectors.