⚡ Interactive Computational Laboratory

60 Real-Time AI, Physics & Mathematical Simulators

100% client-side algorithmic simulations. Manipulate neural nodes, quantum attractors, particle fields, and tokenization vectors directly in your browser with zero latency.

60 Live Engines
5 Disciplines
0 ms Server Load
60 FPS Audio & Motion
🌐 All Simulators (60) 📊 AI & DATA (13) 👁️ VISION & ROBOTICS (13) 🌀 PHYSICS & CHAOS (13) 🧮 MATH & STATISTICS (12) 🔏 LLM & CRYPTOGRAPHY (9)
🔍
TOOL 10 AI & DATA

🎡 The Markov Chain Destiny Wheel

State-transition probability graphs and steady-state equilibrium drift.

P(X_{n+1} = j \mid X_n = i) = P_{ij}, \quad \pi P = \pi
Launch Simulation →
TOOL 11 AI & DATA

🌲 The Random Forest Voting Booth

Bootstrap aggregation ensemble voting reducing decision variance.

\hat{f}_{\text{rf}}(x) = \frac{1}{B} \sum_{b=1}^{B} f_b(x)
Launch Simulation →
TOOL 12 AI & DATA

🤖 The Reinforcement Learning Gridworld

Q-learning Bellman updates navigating obstacle terrains with epsilon exploration.

Q(s,a) \leftarrow Q(s,a) + \alpha [r + \gamma \max_{a'} Q(s',a') - Q(s,a)]
Launch Simulation →
TOOL 13 AI & DATA

📉 The Stochastic Gradient Descent (SGD) Noise Simulator

Mini-batch stochastic jitter escaping narrow shallow local minima.

g_t = \nabla f_i(\theta_t), \quad \theta_{t+1} = \theta_t - \eta g_t
Launch Simulation →
TOOL 14 VISION & ROBOTICS

🔍 The Convolutional Layer Filter Visualizer

Interactive 3x3 kernel matrix sliding over pixel grids to detect edges & gradients.

(I * K)(i,j) = \sum_{m} \sum_{n} I(i-m, j-n) K(m,n)
Launch Simulation →
TOOL 15 VISION & ROBOTICS

📦 The YOLO Bounding Box Playground

Grid cell anchor boxes and Non-Maximum Suppression (NMS) confidence pruning.

\text{IoU} = \frac{\text{Area of Overlap}}{\text{Area of Union}}
Launch Simulation →
TOOL 16 VISION & ROBOTICS

💨 The Optical Flow Particle Stream

Lucas-Kanade velocity vector fields tracking pixel motion vectors.

I_x u + I_y v + I_t = 0
Launch Simulation →
TOOL 17 VISION & ROBOTICS

📡 The LiDAR Depth Mesh Generator

Rotating laser scan time-of-flight point cloud reconstruction in 3D.

d = \frac{c \cdot \Delta t}{2}, \quad (x,y,z) = (d\cos\theta\cos\phi, d\sin\theta\cos\phi, d\sin\phi)
Launch Simulation →
TOOL 18 VISION & ROBOTICS

🎨 The Image Segmentation Pixel Painter

Pixel-level semantic classification masks and boundary contours.

\mathcal{L}_{\text{Dice}} = 1 - \frac{2 |X \cap Y|}{|X| + |Y|}
Launch Simulation →

Showing 10 to 18 of 60 interactive simulations