phuochitech Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

agenttuning

AgentTuning: Enabling Generalized Agent Abilities for LLMs

aix360

Interpretability and explainability of data and machine learning models

artificial-intelligence

AI projects in python, mostly Jupyter notebooks.

attendance-management-system-using-face-recognition

Attendance Management system using face recognition.

attgan-tensorflow

AttGAN: Facial Attribute Editing by Only Changing What You Want (IEEE TIP 2019)

attgan-tensorflow-1

AttGAN: Facial Attribute Editing by Only Changing What You Want (IEEE TIP 2019)

attgan-tensorflow-2

AttGAN: Facial Attribute Editing by Only Changing What You Want (IEEE TIP 2019)

axios

Promise based HTTP client for the browser and node.js

budget-tracker-with-javascript

HTML, CSS & JavaScript code used to build a Budget Tracker/Planner without any frameworks

chatall

Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers

devops-automation

dlwp-cs

Deep learning models for global weather prediction on a cubed sphere

eattheblocks

Source code for Eat The Blocks, a screencast for Ethereum Dapp Developers

ecommerce

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

front-end-developer-interview-questions

A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.

insta-details

java-basic-tutorials

This is for those who come from my Java Basic Tutorials

jjwt

Java JWT: JSON Web Token for Java and Android

learnspringboot

My example course code when learning Spring Boot

missingpy

Missing Data Imputation for Python

ml-engineering

Machine Learning Engineering Guides and Tools

ml001-project-sources-code-and-learning-materials

ML001 Sources Code and Learning Materials

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

openke

An Open-Source Package for Knowledge Embedding (KE)

playbook

Guides for getting things done, programming well, and programming in style.

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

reenactgan

[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer