dastjead Goto Github PK

alphalens

Performance analysis of predictive (alpha) stock factors

app_sveltekit

auto-gpt

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

awesome-data-leadership

A curated list of awesome posts, videos, and articles on leading a data team (small and large)

awesome-supercollider

💻🎹🎛🔊 A community curated list of SuperCollider stuff

babyagi

beautifier

Simple library to cleanup and prettify url patterns and domains

clustergram

Clustergram - Visualization and diagnostics for cluster analysis in Python

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

dastjead

data_docs

dtreeviz

A python library for decision tree visualization and model interpretation.

esmre

Automatically exported from code.google.com/p/esmre

example-privacy-preserving-ad-click-attribution-for-the-web

Example for https://webkit.org/blog/8943/privacy-preserving-ad-click-attribution-for-the-web/

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

federated

A collection of Google research projects related to Federated Learning and Federated Analytics.

forestjs

Random Forest implementation for JavaScript. Supports arbitrary weak learners. Includes interactive demo.

ghlioscon

🎸 Guitar Hero Live iOS controller for macOS

github-slideshow

A robot powered training repository :robot:

hal9ai

Web-First Composable Data Pipelines

hyperloglog

Python Implementation of Super and Hyper Log Log Sketches

jarvis

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

kaggle-2014-criteo

kb-albert

KB국민은행에서 제공하는 경제/금융 도메인에 특화된 한국어 ALBERT 모델

knowledge_gpt

Accurate answers and instant citations for your documents.

loop-recognition-multi-language-bench

Automatically exported from code.google.com/p/multi-language-bench

ngraph.pixel

Fast graph renderer based on low level ShaderMaterial from three.js

or-tools

Google's Operations Research tools:

orion-search.org

Front-end / Visualizations

osas

One Stop Anomaly Shop: Anomaly detection using two-phase approach: (a) pre-labeling using statistics, Natural Language Processing and static rules; (b) anomaly scoring using supervised and unsupervised machine learning.