cajetanoriekezie Goto Github PK

2021-neurips-ncr

365-days-computer-vision-learning-linkedin-post

365 Days Computer Vision Learning Linkedin Post

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

adv-ml-2020-snn-project

Advanced Machine Learning Fall 2020 Project Repository

advanced-lca-notebooks

Notebooks used in the advanced LCA course (plus others)

alx-higher_level_programming

ALX python programming assignments

alx-low_level_programming

alx-pre_course

I'm now an ALX Student, this is my first repository as a full-stack engineer at ALX

alx-system_engineering-devops

alx-zero_day

I'm now a ALX Student, this is my first repository as a full-stack engineer

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

amceejay

Config files for my GitHub profile.

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

awesome-ai-data-guided-projects

A curated list of data science & AI guided projects to start building your portfolio

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning.

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources.

betty-extension

Holberton-style C code checker written in Perl

blango

Starting point for the Advanced Django course

caafe

Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).

cajetanoriekezie.github.io

carbontracker

Track and predict the energy consumption and carbon footprint of training deep learning models.

continuous-integration-circle

convida

Analysis tool for the COVID19 pandemic in Spain

coursera-deep-learning-specialization

This repository contains my full documentation of Coursera's Deep Learning Specialization taught by the professor Andrew Ng offered by deeplearning.ai.

courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

csgraduateapps

A repository for compiling graduate application materials for prospective computer science graduate students (Masters & PhD).

cvpr2023