Edgar Ortiz (ed-ortizm)

ed-ortizm

Geek Repo

Location:Antofagasta, Chile

Home Page:astrocoding.dev

Github PK Tool:Github PK Tool


Organizations
CLEOsat-group

Edgar Ortiz's repositories

AI-Horde

A crowdsourced distributed cluster for AI art and text generation

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ai-learning

Review and keep up to date with ai trends

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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

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arxiv-search

Automate daily search of relevant papers from the arxiv daily briefing according to relevant keywords

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Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

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awesome-teaching

Automate the generation of homework and playful activities such as Kahoots from class material in the form of pdf files and ppts.

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civitai

A repository of models, textual inversions, and more

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data-engineering-zoomcamp

Free Data Engineering course!

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extrapolate

Age transformation AI app powered by Next.js, Vercel, Replicate, Upstash, and Cloudflare R2 + Workers.

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Failed-ML

Compilation of high-profile real-world examples of failed machine learning projects

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fraud-dataset-benchmark

Repository for Fraud Dataset Benchmark

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galaxy-topology

Topology of galaxies and dark matter halos

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give-me-credit

End to end project to model risk of default when approving credit.

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gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

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gpt4all

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

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knowledge-database

Design a custom data base to store insights from research papers in data science and AI

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langchain

⚡ Building applications with LLMs through composability ⚡

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learn-llms-applications

Learn Large Language Models and apply them to simple tasks

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paint-by-text

A microsite for InstructPix2Pix

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pyorbital

Orbital and astronomy computations in python

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sdss

SDSS spectroscopy data

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topic-visualization

Explore the topics discussed in stack-overflow post using NLP and machine learning

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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).

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traditional-ml

Study traditional ML

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whisper

Robust Speech Recognition via Large-Scale Weak Supervision

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