skypea's starred repositories
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
TransformerLens
A library for mechanistic interpretability of GPT-style language models
CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Awesome-LLMs-Evaluation-Papers
The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.
representation-engineering
Representation Engineering: A Top-Down Approach to AI Transparency
causaltune
AutoML for causal inference.
Transformer-Hawkes-Process
Code for Transformer Hawkes Process, ICML 2020.
causaldata
Packages of Example Data for The Effect
causal_learning_unknown_interventions
Code for "Neural causal learning from unknown interventions"
causal_discovery_for_time_series
Causal discovery for time series
torch_truncnorm
Truncated Normal Distribution in PyTorch
example-causal-datasets
Example causal datasets with consistent formatting and ground truth
DL-abstract-argumentation
Neuro-symbolic approaches to reasoning problems from abstract argumentation
DAG_No_Fear
NeurIPS 2020 Spotlight Paper
argumentation-framework
Prolog Framework for Bipolar Abstract Argumentation
QBAF-Learning
Structure Learning of Gradual Bipolar Argumentation Graphs using Genetic Algorithms