Find the Right AI Skill for Any Job

neon

Nervana's [high-performance](https://github.com/soumith/convnet-benchmarks) Python-based Deep Learning framework [DEEP LEARNING]. **[Deprecated]**

stacked_generalization

Implementation of machine learning stacking technique as a handy library in Python.

Cogitare

A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.

Optunity examples

Examples demonstrating how to use Optunity in synergy with machine learning libraries.

Learn Python

Learn Python programming on LabEx: beginner and topic courses plus coding labs via LabEx MCP; avoid generic help outside labex.io catalog URLs.

Moralis Data Api

Query Web3 blockchain data from Moralis API. Use when user asks about wallet data (balances, tokens, NFTs, transaction history, profitability, net worth), to...

Training Site Reliability Engineers: What Your Organization Needs to Create a Learning Program

Training Site Reliability Engineers: What Your Organization Needs to Create a Learning Program - Education

sf-novel-writer

分阶段支持科幻（Science Fiction）小说策划、写作与润色的技能。 触发条件: "想写科幻小说"、"想创作科幻作品"、"帮我构建科幻世界观"、 "继续写科幻小说"、"设计科幻情节"、"润色科幻小说"等， 涵盖一切与科幻小说创作相关的请求。支持短篇、中篇、长篇全类型。 覆盖硬科幻、太空歌剧、反乌托邦、赛博...

a very short history of #datascience

_The story of how data scientists became sexy is mostly the story of the coupling of the mature discipline of statistics with a very young one--computer science. The term “Data Science” has emerged only recently to specifically designate a new profession that is expected to make sense of the vast stores of big data. But making sense of data has a long history and has been discussed by scientists, statisticians, librarians, computer scientists and others for years. The following timeline traces the evolution of the term “Data Science” and its use, attempts to define it, and related terms._

para-pkm

Manage PARA-based personal knowledge management (PKM) systems using Projects, Areas, Resources, and Archives organization method. Use when users need to (1) Create a new PARA knowledge base, (2) Organize or reorganize existing knowledge bases into PARA structure, (3) Decide where content belongs in PARA (Projects vs Areas vs Resources vs Archives), (4) Create AI-friendly navigation files for knowledge bases, (5) Archive completed projects, (6) Validate PARA structure, or (7) Learn PARA organizat

Vuejs 2 Authentication Tutorial

on Auth0 blog

DevOpsLinks

A weekly newsletter about SRE, SysAdmin and DevOps news, tools, tutorials and opinions.

Introduction to machine learning with scikit-learn

IPython notebooks from Data School's video tutorials on scikit-learn.

What is Data Science @ O'reilly

_Data scientists combine entrepreneurship with patience, the willingness to build data products incrementally, the ability to explore, and the ability to iterate over a solution. They are inherently interdisciplinary. They can tackle all aspects of a problem, from initial data collection and data conditioning to drawing conclusions. They can think outside the box to come up with new ways to view the problem, or to work with very broadly defined problems: “here’s a lot of data, what can you make from it?”_

The sexiest job of 21st century

_Data scientists today are akin to Wall Street “quants” of the 1980s and 1990s. In those days people with backgrounds in physics and math streamed to investment banks and hedge funds, where they could devise entirely new algorithms and data strategies. Then a variety of universities developed master’s programs in financial engineering, which churned out a second generation of talent that was more accessible to mainstream firms. The pattern was repeated later in the 1990s with search engineers, whose rarefied skills soon came to be taught in computer science programs._

TDB

TensorDebugger (TDB) is a visual debugger for deep learning. It features interactive, node-by-node debugging and visualization for TensorFlow.

Introduction to Machine Learning with Python

Notebooks and code for the book "Introduction to Machine Learning with Python"

TutorGPT

Dynamic few-shot metaprompting for the task of tutoring. 

Deep Diamond

A fast Clojure Tensor & Deep Learning library

fastmath

A collection of functions for mathematical and statistical computing, macine learning, etc., wrapping several JVM libraries

golearn

Machine learning for Go.

Software Development Resources for Data Scientists

_Data scientists concentrate on making sense of data through exploratory analysis, statistics, and models. Software developers apply a separate set of knowledge with different tools. Although their focus may seem unrelated, data science teams can benefit from adopting software development best practices. Version control, automated testing, and other dev skills help create reproducible, production-ready code and tools._

go-ml-transpiler

An open source Go transpiler for machine learning models.

therfoo

An embedded deep learning library for Go.

dataframe-go

Dataframes for machine-learning and statistics (similar to pandas).

Bitfalls

Technical news, solidity tutorials, and skeptical research. EN and HR languages.

goml

Machine learning library written in pure Go.

Create Coding Tutorials

Takes your code and develops a self-paced tutorial for your students.

hopfield-networks

Hopfield Networks for unsupervised learning in Haskell. **[Deprecated]**

PySpark Cheatsheet

PySpark Cheatsheet - Tutorials

Bitcoin and Cryptocurrency Course

Bitcoin and Cryptocurrency Technologies course. 12 videos, each 45-90 mins.

gold

A reinforcement learning library.

Smile

Statistical Machine Intelligence & Learning Engine.

tensor-js

A deep learning library for the browser, accelerated by WebGL and WebAssembly.

Knet

Koç University Deep Learning Framework.

Referral Marketing

and [Mobile Referral Marketing](https://www.referralsaasquatch.com/ultimate-guide-to-mobile-referral-marketing/) can give you word-of-mouth growth. For inspiration check [51 Best Referral Program Examples of 2016](https://www.referralsaasquatch.com/ultimate-guide-to-mobile-referral-marketing/). Thes

Data science your way

Data science your way - Tutorials

Canvas LMS

Access Canvas LMS (Instructure) for course data, assignments, grades, and submissions. Use when checking due dates, viewing grades, listing courses, or fetching course materials from Canvas.

DataCamp Cheatsheets

Cheatsheets for data science.

Weka

Weka is a collection of machine learning algorithms for data mining tasks.

SystemML

flexible, scalable machine learning (ML) language.

Tribou

A machine learning library written in Java by Oracle.

Tetra Scar Safety

Agent safety that learns from incidents. Reflex arc blocks repeat threats without LLM calls.

kNear

JavaScript implementation of the k nearest neighbors algorithm for supervised learning.

Learn DevOps

Learn DevOps on LabEx through culture and toolchain courses plus CI/CD and ops labs. DevOps courses and labs from the MCP catalog; align picks with how LabEx...

MLJ

A Julia machine learning framework.

8 Email Pitch Templates to Partner with Influencers

by Sapph. Nice guides & examples for asking promotion, contribution, partnership or review from the influencer. Customize and use them!

Instacart

Place grocery orders on Instacart via browser automation. Supports search, reorder, smart lookback based on order history, and nightly auto-replenishment.