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a-pytorch-tutorial-to-sequence-labeling

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

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, ... 🧠

api_web_scraping

Web scraping using API.

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

automated-machine-learning-with-autokeras

Automated Machine Learning with Auto-Keras, Published by Packt

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-ctf

A curated list of CTF frameworks, libraries, resources and softwares

awesome-data-centric-ai

Data Centric AI resources

backup-google-drive

陽明交通大學在2022年11月要砍掉校友的Gsuite帳號雲端硬碟容量到5 GB，本專案用自動化程式下載雲端硬碟並整理資料夾。

chaospy

Chaotic attractors (Lorenz, Rossler, Rikitake etc.)

cryptota

Technical Analysis on Cryptocurrency

cs229-project

Weak Supervision in the Age of Transfer Learning for Natural Language Processing

cubes

This code calculates all the variations of 3D polycubes for any size (time permitting!)

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-reinforcement-learning-algorithms

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

deep-rl-tutorial

A Tutorial on Deep Reinforcement Learning in PyTorch

deepreinforcementlearninginaction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

ensemble-methods-notebooks

A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)

from-0-to-research-scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

jumr-jadavpur-university-movie-recommendation

Jadavpur University Movie Recommendation Database for Sentiment Analysis

latex-workshop

Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.

lcbench

A learning curve benchmark on OpenML data

leveraging-adversarial-samples-for-enhanced-classification-of-malicious-and-evasive-pdf-files

Repository for the paper "Leveraging Adversarial Samples for Enhanced Classification of Malicious and Evasive PDF Files" published in Applied Sciences, MDPI

masters-thesis-energy-rl-co-

math_dl_book_info

書籍「最短コースでわかる ディープラーニングの数学」用サポートサイト

matlabplotcheatsheet

A cheatsheet for those who plot with MATLAB

napoleon-total-war-intel-12th-gen-patch

A guide on how to patch Napoleon Total War to run on Intel 12th-gen processors, such as the i9-12900k which NTW has been known not to be able to boot on up until now due to DRM issues.

nkust-thesis-template

國立高雄科技大學 研究所論文 LaTeX 版型

omnitool

Official Omnitool repository