TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…

Experiment different Neural Networks to classify graph nodes on citation networks datasets

🖼 imgcat in Python (for iTerm2)

Official implementation of GANmut (CVPR 2021)

Comparison of two algorithms for hyperparameters global optimization: Radial Basis Functions and Bayesian gaussian processes.

An academic project about the retrieve of information about notes in music sheets using a Faster R-CNN and MUSCIMA++ dataset. The project was made by me and Federico Magnolfi [@fedem96].

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

A new bootable USB solution.

A file-based ORM for Python dataclasses.

Bachelor Thesis: optimization program to manage the changing of nurses shifts in a hospital

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Train agents on MiniGrid from human demonstrations using Inverse Reinforcement Learning

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.