yingxu-swim Goto Github PK

ai_tutorial

algorithm-package

awesome-chinese-llm

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

booklist

data-enhancement-and-paraphrasing

Research on multi-level Chinese paraphrasing, using seq2seq to generate multiple sentences with the same semantic meaning

datastructure_tutorial

digitalmediathe-mahogany

the Interactive application designed to promote Mahogany by using Adobe director

dl_tutorial

european-wastewater-drugs-visualizationanalysis

free-translate-api-libretranslate

Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.

gnn-based-sokudu

gnn implementation used to solve 9*9 sokudu problem

harvard-cs50x-2022

my solution in Harvard cs50x 2022

hybrid-label-based-bayesian-personalized-ranking-recommendation-algorithm

This project focuses on the implicit feedback-based recommendation ranking problem, aiming to divide the full dataset into multiple local datasets by item label weights and user label weights, and to use a hybrid Bayesian personalized ranking recommendation algorithm in the local datasets

konquest

Agent vs. game, includes MarkovAgent, MinimaxAgent, IterativeDeepening...

lunarlander-bipedalwalker

PyTorch implementation of DQN and DDPG tested on lunarlander and bipedalwalker

mnist_ae

AE, DAE, VAE algorithms based on MNIST dataset

multi-stageplanning_agricultural-landallocation

Research on Agricultural Land Allocation Based on Multi-stage Planning

nlp_tutorial

public-apis

📚 A public list of APIs from round the web.

seq2seq-machinetranslation

implementatin of machine translation based on RNN and Transformer

sql_tutorial

stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

stocktrend-prediction-basedon-news

predict stock price trends based on news and prices by using LDA and XGboost

tcm-kg

Research on Knowledge graaph based on Chinese medicine

tcm-lexicon-ner

Lexicon NER on Chinese Ancient Medical Texts

tcmkg-driven-task-based-qasystem

Cleanse the data of "Compendium of Materia Medica" as the full-text data foundation, with herbs as the center, to construct a Chinese medicine knowledge graph including 6 entity types and various relationship types. Use BiLSTM, CRF, and naive Bayes classification to build a question-answering system based on the Chinese medicine knowledge graph.

timeseries_steelprice_prediction

TimeSeries：Analysis and forecast of steel price time series by using ARIMA

timeseries_stockprice_prediction

predict stock price by using LSTM and ARIMA