luigicapogrosso
PhD student in AI at PoliTO w/ UniVR.
University of Verona w/ Polytechnic of TurinPergine Valsugana
luigicapogrosso's Stars
ultralytics/ultralytics
Ultralytics YOLO11 🚀
karpathy/LLM101n
LLM101n: Let's build a Storyteller
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
cvat-ai/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
BradyFU/Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
google/or-tools
Google's Operations Research tools:
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
voxel51/fiftyone
Refine high-quality datasets and visual AI models
udlbook/udlbook
Understanding Deep Learning - Simon J.D. Prince
vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
lightly-ai/lightly
A python library for self-supervised learning on images.
harvard-edge/cs249r_book
Collaborative book Machine Learning Systems
AIoT-MLSys-Lab/Efficient-LLMs-Survey
[TMLR 2024] Efficient Large Language Models: A Survey
huytransformer/Awesome-Out-Of-Distribution-Detection
Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc
thuml/awesome-multi-task-learning
2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
mit-han-lab/mcunet
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
feifeiobama/Awesome-Continual-Learning
A curated list of Continual Learning papers and BibTeX entries
KindXiaoming/Omnigrok
Omnigrok: Grokking Beyond Algorithmic Data
lucmos/relreps
Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to latent space comparison between diverse settings.
Flegyas/latentis
A Python package for analyzing and transforming neural latent spaces.
intelligolabs/DIAG
Official implementation of the paper "Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection" accepted @ CBMI 2024.
Priesemann-Group/nninfo
A Python Package for the Analysis of Deep Neural Networks using Information Theory
intelligolabs/Detaux
Official implementation of the paper "Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning".
intelligolabs/sparsity_sc_ee
Official implementation of the paper "Enhancing Split Computing and Early Exit Applications through Predefined Sparsity" accepted @ FDL 2024.
andreaavo9/Dif4FF
Official Repository of the paper "Dif4FF: Leveraging Multimodal Diffusion Models and Graph Neural Networks for Accurate New Fashion Product Performance Forecasting"
intelligolabs/I-Split
Official implementation of the paper "I-Split: Deep Network Interpretability for Split Computing" accepted @ ICPR 2022.
intelligolabs/MDiFF
Official implementation of the paper "MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting" accepted @ the FashionAI WS (ECCV 2024).
intelligolabs/SITUATE
Official implementation of the paper "SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation" accepted @ ICPR 2024.
luigicapogrosso/learning_enabled_cps
Official implementation of the paper "Learning-Enabled CPS for Edge-Cloud Computing" accepted @ SIES 2024.