JPZ4-5

JPZ4-5's Stars

• jiangfeibo/CommLLM

  Demo implementation for 《Large Language Model Enhanced Multi-Agent Systems for 6G Communications》

  Language:Jupyter Notebook164

• theislab/ehrapy-tutorials

  Tutorials for ehrapy

  Language:Jupyter Notebook81

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.2k3.3k

• salesforce/causalai

  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data

  Language:Jupyter Notebook27128

• lbynum/causal-dependence-plots

  Causal dependence plots for interpretable machine learning

  Language:Jupyter Notebook11

• causalhypothesis/cdp-neurips

  Causal dependence plots for interpretable machine learning

  1

• theislab/ehrapy-reproducibility

  Language:Jupyter Notebook3

• theislab/ehrapy

  Electronic Health Record Analysis with Python.

  Language:Python25422

• kangqiao-ctrl/EnvCausal

  A Causal Inference Framework for Environmental Data Analysis

  Language:Jupyter Notebook203

• ypeiyu/attribution_recalibration

  Language:Python61

• bdebye/thesisuestc

  ThesisUESTC-电子科技大学毕业论文模板

  Language:TeX1.4k331

• yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model

  A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).

  55746

• SillyTavern/SillyTavern

  LLM Frontend for Power Users.

  Language:JavaScript9.3k2.6k

• VMIJUNV/md-to-latex

  基于mistune的Markdown转LaTeX方案，简洁优雅的将md转化为tex，同时实现了许多简便的功能

  Language:Python132

• fncokg/pandoc-tex-numbering

  All-in-one pandoc filter for numbering and cross referencing multi-line equations, sections, figures and tables in TeX.

  Language:Python7

• gianlucarloni/causality_conv_nets

  Experiment with our attention-inspired framework for causality-driven CNNs: learn how to model causal dispositions within image datasets and enhance your image classifier's performance and XAI robustness via our causality-factors extractor.

  Language:Python51

• jgm/pandoc

  Universal markup converter

  Language:Haskell35.4k3.4k

• brantondemoss/GrokkingComplexity

  Code for

  Language:Python235

• FighterLYL/GraphNeuralNetwork

  《深入浅出图神经网络：GNN原理解析》配套代码

  Language:Jupyter Notebook1.8k463

• RQLuo/MixTeX-Latex-OCR

  MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.

  Language:Python1.1k59

• opendatalab/MinerU

  A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。

  Language:Python24.1k1.8k

• dstl/Stone-Soup

  A software project to provide the target tracking community with a framework for the development and testing of tracking algorithms.

  Language:Python425141

• kopytjuk/python-fmcw

  Tutorials on frequency modulated continuous wave (FMCW) and Chirp Sequence Modulation RADAR algorithms.

  Language:Jupyter Notebook9233

• sunsided/SFND_Radar_2D_CFAR

  Radar Target Generation and Detection using 2D CA-CFAR

  Language:MATLAB3612

• udacity/SFND_Lidar_Obstacle_Detection

  Language:C++381530

• flappyimi/Radar-Basic-Algorithm

  Some basic algorithm used in Radar data process, including pulse compression/CFAR/monopulse、Kalman filter and fusion、arrary antenna design.

  Language:MATLAB16348

• 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.

  Language:Python7.2k938

• radarsimx/radarsimpy

  Radar Simulator built with Python and C++

  Language:Python32264

• duo001/evil.js

  Use with caution

  2.2k622

• huggingface/deep-rl-class

  This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

  Language:MDX4k610