Stars
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
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 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.