hongjiedai Goto Github PK

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.

dotgraph

javascript parser for Graphviz dot/xdot format

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

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.

hello-world

hello-world

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.

ml-papers-explained

Explanation to key concepts in ML

oauth2-extensions

An OAuth 2.0 Library for Chrome Extensions

openwebtext

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

pubmed

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

svmheavy.net