Edgar Ortiz's repositories
AI-Horde
A crowdsourced distributed cluster for AI art and text generation
ai-learning
Review and keep up to date with ai trends
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
arxiv-search
Automate daily search of relevant papers from the arxiv daily briefing according to relevant keywords
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
awesome-teaching
Automate the generation of homework and playful activities such as Kahoots from class material in the form of pdf files and ppts.
civitai
A repository of models, textual inversions, and more
data-engineering-zoomcamp
Free Data Engineering course!
extrapolate
Age transformation AI app powered by Next.js, Vercel, Replicate, Upstash, and Cloudflare R2 + Workers.
Failed-ML
Compilation of high-profile real-world examples of failed machine learning projects
fraud-dataset-benchmark
Repository for Fraud Dataset Benchmark
galaxy-topology
Topology of galaxies and dark matter halos
give-me-credit
End to end project to model risk of default when approving credit.
gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
gpt4all
gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue
knowledge-database
Design a custom data base to store insights from research papers in data science and AI
langchain
⚡ Building applications with LLMs through composability ⚡
learn-llms-applications
Learn Large Language Models and apply them to simple tasks
paint-by-text
A microsite for InstructPix2Pix
pyorbital
Orbital and astronomy computations in python
sdss
SDSS spectroscopy data
topic-visualization
Explore the topics discussed in stack-overflow post using NLP and machine learning
topological-curse-of-dimensionality
This repository is aimed at exploring the behavior of metrics in different spaces as is the case of spherical, hyperbolic and Euclidean spaces. After uniformly sampling a given number of points in the space under consideration, the difference between the distance of the farthest away point minus the closest one to a given reference will be inspected against the number of dimensions of the space. One concrete goal is to understand the curse of dimensionality in manifolds with different geometrical properties and try to design 'metrics' that are more suitable to explore distances in this spaces. This repository builds upon >> Aggarwal, C. C., & Yu, P. S. (2001, May). Outlier detection for high dimensional data. In Proceedings of the 2001 ACM SIGMOD international conference on Management of data (pp. 37-46).
traditional-ml
Study traditional ML
whisper
Robust Speech Recognition via Large-Scale Weak Supervision