A training visualization UI for object-detection.
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Updated
Mar 6, 2023 - Python
A training visualization UI for object-detection.
A tiny GPT-style transformer trained from scratch on the Bible, with a live training dashboard. Tauri + React + PyTorch.
A real-time, interactive logging board tailored for parsing YOLO training logs (`results.csv`) and rendering advanced computer vision metrics.
Visualization and Learning tool based on Self-Organizing Maps
Colab/Kaggle training notebooks (BERT distillation, GPT-2 LoRA, tiny GPT) + a live D3 metrics dashboard
Interactive neural network visualiser: Rust (candle) inference/training engine with per-layer activation & gradient tracing, plus a React/WebGL2 3D layer-stack viewer. Train from the UI and watch weights, activations, and gradients flow in real time.
DCGAN in PyTorch to generate realistic cat and dog images from scratch
This project demonstrates the process of training a neural network to fit various mathematical functions
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