Nicolò Lucchesi

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

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

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

PyTorch implementation of the Pyramid CNN network from "A Pyramid CNN for Dense-Leaves Segmentation"

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

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

Simple Deep Learning library in Rust based on ndarray.

Stable Diffusion web UI

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

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

React UI for Stable Diffusion

trying out some doc2vec features with some data-sets

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https://nicklucche.github.io/vllm-force-merge-stats/

Static web dashboard for GitHub PR review statistics

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Top LLMs ranking by downloads + stats

High-performance Rust benchmark client for vLLM serving endpoints.

My zsh config for getting up to speed in a new server/VM

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Performance benchmark & accuracy evaluation for vLLM

Common recipes to run vLLM

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A framework for efficient model inference with omni-modality models

llm-d is a Kubernetes-native high-performance distributed LLM inference framework

NVIDIA Inference Xfer Library (NIXL)

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AI Tensor Engine for ROCm

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pdb++, a drop-in replacement for pdb (the Python debugger)

Release tooling for OpenShift

Development fork of https://github.com/huggingface/text-generation-inference

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vLLM adapter for a TGIS-compatible gRPC server.

Collection of Architectural Decision Records

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

[CVPR2023] CompletionFormer: Depth Completion with Convolutions and Vision Transformers

Provides an interface layer to convert between n-dimensional types in different Rust crates

An open source ChatGPT UI.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Examples for using ONNX Runtime for machine learning inferencing.

⚡ Building applications with LLMs through composability ⚡

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Python tools for geographic data

A collection of AWESOME things about domian adaptation

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Matrix factorization for collaborative filtering using ALS specifically optimized for rank-1 approximation.

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

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Run the Pelias geocoder in docker containers, including example projects.

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