Nicolò Lucchesi

Elite
@NickLucche

I like ML that runs fast (and sometimes works too).

stable-diffusion-nvidia-docker. GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.

370

lane-detection. Implementation of a SegnetConvLSTM for Lane Detection, exploiting spatiotemporal relations in data to detect roadlanes

24

image_segmentation. Image Segmentation using k-means, n-cuts and superpixels

11

pyramid-cnn-leaves-segmentation. PyTorch implementation of the Pyramid CNN network from "A Pyramid CNN for Dense-Leaves Segmentation"

9

continual-habitat-lab. High Level library for running Habitat-Sim for Continual Learning applications.

6

avalanche. Avalanche: an End-to-End Library for Continual Learning.

5

autograd.rs. Simple Deep Learning library in Rust based on ndarray.

4

stable-diffusion-webui. Stable Diffusion web UI

4

ai-toy-games. Implementation of toy games and classical AI solvers (+reinforcement learning cameo).

3

stable-diffusion-react-ui. React UI for Stable Diffusion

2

vllm. A high-throughput and memory-efficient inference and serving engine for LLMs

2

doc2vec_tryouts. trying out some doc2vec features with some data-sets

1

my-linux-config. My zsh config for getting up to speed in a new server/VM

1
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