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Amy Xiao's starred repositories

stanford-cs231n-assignments-2020

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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course22p2

course.fast.ai 2022 part 2

Language:Jupyter NotebookApache-2.044400

Gumroad-Landing-Page-Generator

This project is a Python script that scrapes data from a Gumroad site, generates a colorful and well-designed HTML page using OpenAI's GPT-4 model, and deploys the generated page to Vercel.

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sql-agent

Ai Agent that helps you do data analytics with natural language.

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phoenix

AI Observability & Evaluation

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typesense

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

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kfp-event-handler

Kubeflow Pipelines Event Handler

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sqlalchemy

The Database Toolkit for Python

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py-iMessage

python library to send iMessages

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cat-message

Finds cat images/videos/gifs on reddit, sends them via applescript

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youtube_video_code

The code for all the YouTube videos I publish on YouTube.

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python_feedback_app

Python Flask feedback app with database and email

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fastbook

The fastai book, published as Jupyter Notebooks

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argo-workflows

Workflow Engine for Kubernetes

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intro-to-ml-with-kubeflow-examples

[WIP] Examples for the Intro to ML with Kubeflow book

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building-ml-and-dl-models-on-gcp

Source code for 'Building Machine Learning and Deep Learning Models on Google Cloud Platform'

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minima

Minima is a one-size-fits-all Jekyll theme for writers.

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covid-19

A collection of work related to COVID-19

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awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

MIT1665200

ISL

Student Sourced Solution Manual for "An Introduction to Statistical Learning: with Applications in R"

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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