MatteoPenta's Stars
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
microsoft/autogen
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
tayllan/awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
jordan-cutler/path-to-senior-engineer-handbook
All the resources you need to get to Senior Engineer and beyond
ItzCrazyKns/Perplexica
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
qubvel/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
facebookresearch/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
OpenGVLab/InternImage
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
MrGiovanni/UNetPlusPlus
[IEEE TMI] Official Implementation for UNet++
context-labs/autodoc
Experimental toolkit for auto-generating codebase documentation using LLMs
facebookresearch/habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Project-MONAI/tutorials
MONAI Tutorials
rbgirshick/yacs
YACS -- Yet Another Configuration System
maximevaillancourt/digital-garden-jekyll-template
Start your own digital garden using this Jekyll template 🌱
rmunro/pytorch_active_learning
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
ej0cl6/deep-active-learning
Deep Active Learning
towhee-io/examples
Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.
yaringal/ConcreteDropout
Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
davyneven/SpatialEmbeddings
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
SoccerNet/sn-gamestate
SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
Lee-Gihun/MEDIAR
(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"
juglab/EmbedSeg
Code Implementation for EmbedSeg, an Instance Segmentation Method for Microscopy Images
dvl-tum/GHOST
Repository for GHOST: Simple Cues Lead to a Strong Multi-Object Tracker (CVPR 2023)
TrackingLaboratory/tracklab
A modular end-to-end tracking framework for research and development
mayorx/hungarian-algorithm
(Kuhn-Munkres) numpy implementation, rectangular matrix is supported (|X| <= |Y|). 100x100000 in 0.153 s.
ElementoLab/utag
volume-em/cem-dataset
Utilities for building and using the CEM dataset for unsupervised pre-training and downstream tasks.
2Falx/MedicalActiveLearning
Active Learning on Medical Image Segmentation