ariapoy Goto Github PK

active-learning

active-learning-benchmark

Active learning benchmark for classification

alignment-handbook

Robust recipes for to align language models with human and AI preferences

alipy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

ariapoy.github.io

To my aquamarine.

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

chjhs_2020

靜心中學高中資訊社課程 Chingshin Academy

crowd_truth_infer

This is the framework with 17 existing crowdsourced truth inference algorithms.

crowdlayer

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

crowdti

A truth inference tool in crowdsourcing

cs145-2017

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

ddpo-pytorch

DDPO for finetuning diffusion models, implemented in PyTorch with LoRA support

deep-active-learning

Deep Active Learning

diffusiondpo

Code for "Diffusion Model Alignment Using Direct Preference Optimization"

dockerfile_collection

Collection of my docker environments.

drlx

Diffusion Reinforcement Learning Library

dynamic_programming

faster-than-light-latex-tutorial

Simple LaTeX Tutorial for someone with Chinese.

html.2023.bonusfinal-public

The repository serves as the tutorial for the bonus track of the final project of [CSIE 5043] Machine Learning during the Spring semester of 2023 at National Taiwan University.

icg_final

NTU ICG 2021 Spring Final

imagereward

[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

libact

Pool-based active learning in Python

logreg-crowds

Logistic Regression from Crowds

mlee2016_public

Reference: http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML16.html

ntu-spring2021-dip

NTU Sprint 2021 DIP

palm-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

pandas_intro

Python pandas introduction

pymining

A few data mining algorithms in pure python