Pinned Repositories
A-machine-learning-approach-to-analyse-and-predict-the-electric-cars-scenario-the-Italian-case
a-PyTorch-Tutorial-to-Sequence-Labeling
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
code
Chapter programs/snippets and Solutions to Challenges
Cristallo
dataset_automated_medical_transcription
Dataset for training machine learning model for automatically generating psychiatric case notes from doctor-patient conversations.
DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
demo
demo2
Digital-Twin-in-python
In this repo we will show how to build a simple but useful Digital Twin using python. Our asset will be a Li-ion battery. This Digital Twin will allow us to model and predict batteries behavior and can be included in any virtual asset management process.
hongjiedai's Repositories
hongjiedai/A-machine-learning-approach-to-analyse-and-predict-the-electric-cars-scenario-the-Italian-case
hongjiedai/a-PyTorch-Tutorial-to-Sequence-Labeling
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
hongjiedai/AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
hongjiedai/code
Chapter programs/snippets and Solutions to Challenges
hongjiedai/Cristallo
hongjiedai/dataset_automated_medical_transcription
Dataset for training machine learning model for automatically generating psychiatric case notes from doctor-patient conversations.
hongjiedai/DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
hongjiedai/demo
hongjiedai/demo2
hongjiedai/Digital-Twin-in-python
In this repo we will show how to build a simple but useful Digital Twin using python. Our asset will be a Li-ion battery. This Digital Twin will allow us to model and predict batteries behavior and can be included in any virtual asset management process.
hongjiedai/Electrical-Vehicle-Motor-Temperature-Rise-Prediction
MACHINE LEARNING PROJECT
hongjiedai/Electrical-vehicles-data-analytics-and-price-prediction
Electrical vehicles data analytics and price prediction
hongjiedai/example
hongjiedai/example2
hongjiedai/hello-world
hello-world
hongjiedai/ML-Papers-Explained
Explanation to key concepts in ML
hongjiedai/Extracting-Training-Data-from-Large-Langauge-Models
A re-implementation of the "Extracting Training Data from Large Language Models" paper by Carlini et al., 2020
hongjiedai/gpt-pytorch
PyTorch Implementation of OpenAI GPT
hongjiedai/GPT2-Chinese
Chinese version of GPT2 training code, using BERT tokenizer.
hongjiedai/LM_Memorization
Training data extraction on GPT-2
hongjiedai/medmcqa
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
hongjiedai/openwebtext
Open clone of OpenAI's unreleased WebText dataset scraper. This version uses pushshift.io files instead of the API for speed.
hongjiedai/pytorch-nlp-notebooks
Learn how to use PyTorch to solve some common NLP problems with deep learning.
hongjiedai/RAMP-mobility
A novel application of the RAMP main engine for generating bottom-up stochastic electric vehicles load profiles.
hongjiedai/Single_char_image_generator
hongjiedai/TaipeiOMG
Taipei OMG
hongjiedai/transformers-tutorials
Github repo with tutorials to fine tune transformers for diff NLP tasks
hongjiedai/twlm
Taiwanese Mandarin LLM Project
hongjiedai/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022
hongjiedai/visimportance
Code to supplement the paper "Learning Visual Importance for Graphic Designs and Data Visualizations" [UIST'17]