Riccardo Bertoglio's starred repositories
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
pandas_exercises
Practice your pandas skills!
vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
must-read-papers-for-ml
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
DataScienceCourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
numpy-tutorials
NumPy tutorials & educational content in notebook format
Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict
Code for my medium article
loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
AgML
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Bag_to_Depth
Python code to extract depth and rgb data from rosbag