Pinned Repositories
abtest-learn
A/B Testing Frameworks
agao21_script
AGP-Approximate_Graph_Propagation
Approximate Graph Propagation
AllVec
Batch IS NOT Heavy: Learning Word Representations From All Samples
alphalens
Performance analysis of predictive (alpha) stock factors
ART-Forum-2017-Stan-Tutorial
Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
arviz
Exploratory analysis of Bayesian models with Python
attentional_factorization_machine
TensorFlow Implementation of Attentional Factorization Machine
awesome-network-analysis
A curated list of awesome network analysis resources.
tuantx7110's Repositories
tuantx7110/alphalens
Performance analysis of predictive (alpha) stock factors
tuantx7110/arviz
Exploratory analysis of Bayesian models with Python
tuantx7110/btyd
Buy Till You Die and Customer Lifetime Value statistical models in Python.
tuantx7110/CausalImpact
An R package for causal inference in time series
tuantx7110/CLVTools
R-Package for estimating CLV
tuantx7110/DeepClustering
Methods and Implements of Deep Clustering
tuantx7110/dual-channel-hypergraph-neural-network
tuantx7110/gcp-with-gnns-example
tuantx7110/gnn-tail-generalization
tuantx7110/hyperbolic-embeddings
Code for hyperboloid embeddings for knowledge graph entities
tuantx7110/KaHIP
KaHIP -- Karlsruhe HIGH Quality Partitioning.
tuantx7110/kahypar
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
tuantx7110/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
tuantx7110/lifelines
Survival analysis in Python
tuantx7110/ML-for-Transaction-Costs
tuantx7110/Network-Analysis-Made-Simple
An introduction to network analysis and applied graph theory using Python and NetworkX
tuantx7110/neural-subgraph-learning-GNN
tuantx7110/optimisation-notes
Lecture notes for Linear and Nonlinear optimisation.
tuantx7110/PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
tuantx7110/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
tuantx7110/pyfolio
Portfolio and risk analytics in Python
tuantx7110/pymc
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
tuantx7110/pymc-examples
Examples of PyMC models, including a library of Jupyter notebooks.
tuantx7110/pymc-resources
PyMC educational resources
tuantx7110/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
tuantx7110/python-marketing-research-1ed
tuantx7110/recommenders
Best Practices on Recommendation Systems
tuantx7110/scikit-survival
Survival analysis built on top of scikit-learn
tuantx7110/tensor-train-for-gcn
tuantx7110/zipline
Zipline, a Pythonic Algorithmic Trading Library