songnku's Stars
MasaAsami/pysynthdid
Synthetic difference in differences for Python
EmbraceAGI/Awesome-AI-GPTs
Awesome AI GPTs, OpenAI GPTs, GPT-4, ChatGPT, GPTs, Prompts, plugins, Prompts leaking
chasmani/piecewise-regression
piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes.
iamseancheney/python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
NSAPH-Projects/air-quality-disparities-mapper
alan-turing-institute/deepsensor
A Python package for tackling diverse environmental prediction tasks with NPs.
PengyuanLiu1993/XAI-Urban-Analytics
Nathan-303/PRAWNS
Pollution Raster Analysis With National Statistics
dime-worldbank/googletraffic
R package to query Google Maps traffic data and transform into data
sdfordham/pysyncon
A python module for the synthetic control method
christophM/interpretable-ml-book
Book about interpretable machine learning
LOST-STATS/lost-stats.github.io
Source code for the Library of Statistical Techniques
loftytopping/DS_atmos_intro
A very short course on building simple and complex scripts to interrogate spectral datasets
meteostat/meteostat-python
Access and analyze historical weather and climate data with Python.
alan-turing-institute/TCPD
The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms
ebenmichael/augsynth
Augmented Synthetic Control Method
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
joonspk-research/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
jakobrunge/tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
rfordatascience/tidytuesday
Official repo for the #tidytuesday project
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
alawryaguila/multi-view-AE
Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.
heudiasyc/Evidential-neural-network-for-lymphoma-segmentation
Code for paper "Lymphoma segmentation from 3D PET-CT images using a deep evidential network"
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
m-edal/Time-series-analytics-course
A short course on time-series analytics
pymc-labs/CausalPy
A Python package for causal inference in quasi-experimental settings
biobootloader/wolverine
reworkd/AgentGPT
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.