Nicolò Lucchesi's repositories
stable-diffusion-nvidia-docker
GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.
lane-detection
Implementation of a SegnetConvLSTM for Lane Detection, exploiting spatiotemporal relations in data to detect roadlanes
image_segmentation
Image Segmentation using k-means, n-cuts and superpixels
pyramid-cnn-leaves-segmentation
PyTorch implementation of the Pyramid CNN network from "A Pyramid CNN for Dense-Leaves Segmentation"
continual-habitat-lab
High Level library for running Habitat-Sim for Continual Learning applications.
stable-diffusion-webui
Stable Diffusion web UI
ai-toy-games
Implementation of toy games and classical AI solvers (+reinforcement learning cameo).
stable-diffusion-react-ui
React UI for Stable Diffusion
doc2vec_tryouts
trying out some doc2vec features with some data-sets
matrix-completion
Matrix factorization for collaborative filtering using ALS specifically optimized for rank-1 approximation.
autograd.rs
Simple Deep Learning library in Rust based on ndarray.
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
CompletionFormer
[CVPR2023] CompletionFormer: Depth Completion with Convolutions and Vision Transformers
habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
langchain
⚡ Building applications with LLMs through composability ⚡
nshare
Provides an interface layer to convert between n-dimensional types in different Rust crates
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
onnxruntime-inference-examples
Examples for using ONNX Runtime for machine learning inferencing.
ProgettoStage
Stage
smart-chatbot-ui
An open source ChatGPT UI.
sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.