Louis Forster
Machine learning engineer. First-class MEng in Computer Science with Innovation from the University of Bristol, 2026.
Open-Jet
A terminal coding agent that runs on your own GPU. It connects to Ollama, LM Studio or llama.cpp, or picks a model that fits your card and runs llama-server for you. Runs Qwen 27B at 70 tokens/s on an RTX 3090, up from 33, after tuning multi-token prediction, KV cache and GPU offload. Install with pip install open-jet.
Treyspace
Excalidraw with an AI chat that can read your board. Shapes, arrows and positions are stored as a graph in HelixDB, and the model queries that graph through MCP tools, citing the nodes it used. Tested on 125 questions, including ones the board can’t answer, to measure citation accuracy and hallucination rate. Live at treyspace.app; the SDK is on GitHub.
Research
TempRetinex
IEEE ICME 2026, second author. Y. Li, L. Forster, D. Bull, N. Anantrasirichai.
Brightens low-light video without paired training data. Done as a research intern at the Bristol Vision Institute: I rebuilt the recurrent PyTorch pipeline to warp frames in both directions, check forward and backward optical flow against each other, and mask occluded pixels. I also fine-tuned RAFT and DPFlow on MPI Sintel with added noise, trained on A100s, and got results above the previous baselines.