PocketML vs Neuro Sandbox

PocketML is an easy-to-use app for training and using machine learning models. It starts with linear regression to help users understand data and make predictions. PocketML is great for those interested in practical machine learning in a user-friendly way. Features: Data Table: Create, edit, and handle data tables in the app, including .xls file import. Graphs: Shows data and linear regression visually in an interactive way. Simple Interface: Great for beginners and experienced users in machine learning. DarkMode: For late science :) Models: - Linear Regression - Polynomial Regression More models are coming soon!

Neuro Sandbox is an interactive visual sandbox for exploring neural network dynamics. Build small networks by placing neurons, connecting synapses, and observing how activity flows through the system in real time. Neuro Sandbox is designed for students, researchers, and anyone interested in computational neuroscience who wants to see how network behavior emerges from simple rules. Rather than writing code, you interact directly with the network. Adjust parameters, introduce feedback loops, and watch how excitation, inhibition, and decay shape firing patterns over time. What you can do: • Build custom neural networks by adding and connecting neurons • Assign excitatory or inhibitory neuron types • Adjust basal firing rates and synaptic decay • Modify synaptic weights and observe their effects • Visualize spike propagation and firing dynamics • Monitor live firing rates and recent activity history • Explore simple Hebbian-style learning rules • Detect and pause runaway network behavior