sparo-jack's Stars
ailabx/ailabx
AI量化实验室,专注将前沿人工智能技术(深度学习/强化学习/知识图谱)应用于金融量化投资。
eyounx/RACOS
A theoretically-grounded derivative-free optimization method, born from a statistical view of evolutionary algorithms
msbanik/drawtree
Draw binary tree in plain text
sunlab-osu/TURL
Code and data for "TURL: Table Understanding through Representation Learning"
kpu/kenlm
KenLM: Faster and Smaller Language Model Queries
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
SoftwareAG/nyoka
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
iamDecode/sklearn-pmml-model
A library to parse and convert PMML models into Scikit-learn estimators.
liyaguang/deep-eta-murat
Implementation of "Multi-task Representation Learning for Travel Time Estimation"
songxxiao/m5_compete
Sliver Solution (Top 2%) for Kaggle M5 Forecasting competition
Advanced-Frontend/Daily-Interview-Question
我是依扬(木易杨),公众号「高级前端进阶」作者,每天搞定一道前端大厂面试题,祝大家天天进步,一年后会看到不一样的自己。
CastellanZhang/alphaFM
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
summanlp/textrank
TextRank implementation for Python 3.
davidadamojr/TextRank
Python implementation of TextRank algorithm for automatic keyword extraction and summarization using Levenshtein distance as relation between text units. This project is based on the paper "TextRank: Bringing Order into Text" by Rada Mihalcea and Paul Tarau. https://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf
abner-wong/textrank
keyword extraction and summarization for Chinese text by TextRank
infinilabs/analysis-pinyin
🛵 This Pinyin Analysis plugin is used to do conversion between Chinese characters and Pinyin.
trevorstephens/gplearn
Genetic Programming in Python, with a scikit-learn inspired API
fraunhoferportugal/tsfel
An intuitive library to extract features from time series.
PetoLau/TSrepr
TSrepr: R package for time series representations
dmbee/seglearn
Python module for machine learning time series:
edebrouwer/gru_ode_bayes
Pytorch implementation of GRU-ODE-Bayes
laiguokun/LSTNet
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
nnzhan/MTGNN
bighuang624/DSANet
Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
YuliaRubanova/latent_ode
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
liyaguang/DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
zalandoresearch/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
xinychen/transdim
Machine learning for transportation data imputation and prediction.