hongjiedai

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

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.

Electrical-Vehicle-Motor-Temperature-Rise-Prediction

MACHINE LEARNING PROJECT

Electrical-vehicles-data-analytics-and-price-prediction

Electrical vehicles data analytics and price prediction

example

example2

hello-world

hello-world

ML-Papers-Explained

Explanation to key concepts in ML

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

gpt-pytorch

PyTorch Implementation of OpenAI GPT

GPT2-Chinese

Chinese version of GPT2 training code, using BERT tokenizer.

LM_Memorization

Training data extraction on GPT-2

medmcqa

A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.

openwebtext

Open clone of OpenAI's unreleased WebText dataset scraper. This version uses pushshift.io files instead of the API for speed.

pytorch-nlp-notebooks

Learn how to use PyTorch to solve some common NLP problems with deep learning.

RAMP-mobility

A novel application of the RAMP main engine for generating bottom-up stochastic electric vehicles load profiles.

RNNSharp

RNNSharp is a toolkit of recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling. It's written by C# language and based on .NET framework 4.0 or above version.

Single_char_image_generator

TaipeiOMG

Taipei OMG

transformers-tutorials

Github repo with tutorials to fine tune transformers for diff NLP tasks

twlm

Taiwanese Mandarin LLM Project

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

visimportance

Code to supplement the paper "Learning Visual Importance for Graphic Designs and Data Visualizations" [UIST'17]