Alternatives and similar repositories for latex-cv

Users that are interested in latex-cv are comparing it to the libraries listed below

• Xovee / canv
  CANV: Co-Authorship Network Visualization.
  ☆16Updated last year
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆108Updated 4 years ago
• sandeepsoni / MHP
  Generation and MLE Estimation for Multivariate Hawkes Process
  ☆11Updated 5 years ago
• benedekrozemberczki / spatiotemporal_datasets
  Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
  ☆60Updated last year
• s-mishra / featuredriven-hawkes
  Code and Data for CIKM Paper Feature Driven and Point Process Approaches for Popularity Prediction
  ☆72Updated 8 years ago
• meowoodie / Reinforcement-Learning-of-Spatio-Temporal-Point-Processes
  A general framework for learning spatio-temporal point processes via reinforcement learning
  ☆30Updated 4 years ago
• Causal-Inference-ZeroToAll / causality4ml
  把因果思维融入机器学习中
  ☆81Updated 5 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆57Updated 2 years ago
• dobriban / Principles-of-AI-LLMs
  Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…
  ☆41Updated 2 months ago
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆225Updated last month
• CausalDM / Causal-Decision-Making
  ☆35Updated 2 months ago
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated last year
• BSifringer / EnhancedDCM
  Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit
  ☆41Updated 6 years ago
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆61Updated 8 months ago
• claws-lab / INPAC
  Code and data for the KDD 2023 paper "Predicting Information Pathways Across Online Communities."
  ☆23Updated 8 months ago
• CausalML / DeepGMM
  ☆39Updated 5 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 4 years ago
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆113Updated 2 months ago
• tonygracious / Temporal-Point-Process-TPP-
  This repository contains recent background materials, current works, and codes for researching in TPP.
  ☆16Updated last year
• xinychen / awesome-beamer
  Creating presentation slides by using Beamer in LaTeX.
  ☆116Updated last year
• mingzhang-yin / CoCo
  An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…
  ☆14Updated last year
• 000Justin000 / gnn-residual-correlation
  ☆20Updated 4 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆75Updated 9 months ago
• Networks-Learning / counterfactual-explanations-mdp
  Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
  ☆16Updated 2 years ago
• IngoScholtes / kdd2018-tutorial
  Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data
  ☆46Updated 6 years ago
• IBM / TM-GCN
  Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product
  ☆28Updated 4 years ago
• zju-vipa / awesome-neural-trees
  Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
  ☆83Updated 2 years ago
• reml-lab / hetvae
  Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
  ☆32Updated 3 years ago
• celi52 / si-hdgnn
  SI-HDGNN: Heterogeneous Dynamical Academic Network for Scientific Impact Propagation Learning
  ☆21Updated last year
• yuan-shuhan / trustworthy-anomaly-detection-papers
  Papers on trustworthy anomaly detection
  ☆29Updated last year