Janghyun1230's Stars
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—foundation models
unslothai/unsloth
Finetune Llama 3.2, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
cpacker/MemGPT
Letta (fka MemGPT) is a framework for creating stateful LLM services.
dair-ai/ML-Papers-of-the-Week
🔥Highlighting the top ML papers every week.
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
py-why/causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
huawei-noah/trustworthyAI
Trustworthy AI related projects
microsoft/causica
aertslab/pySCENIC
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.
cdt15/lingam
Python package for causal discovery based on LiNGAM.
KrishnaswamyLab/MAGIC
MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.
claudiashi57/dragonnet
aertslab/scenicplus
SCENIC+ is a python package to build gene regulatory networks (GRNs) using combined or separate single-cell gene expression (scRNA-seq) and single-cell chromatin accessibility (scATAC-seq) data.
Murali-group/Beeline
BEELINE: evaluation of algorithms for gene regulatory network inference
aertslab/SCENICprotocol
A scalable SCENIC workflow for single-cell gene regulatory network analysis
nke001/causal_learning_unknown_interventions
Code for "Neural causal learning from unknown interventions"
vios-s/DiffAN
Diffusion Models for Causal Discovery
phlippe/ENCO
Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
vahuynh/GENIE3
Machine learning-based approach for the inference of gene regulatory networks from expression data.
slachapelle/dcdi
Repository for "Differentiable Causal Discovery from Interventional Data"
larslorch/avici
Amortized Inference for Causal Structure Learning, NeurIPS 2022
PayamDiba/SERGIO
A simulator for single-cell expression data guided by gene regulatory networks
larslorch/dibs
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
z-dragonl/Causal-Learner
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning
skywalker023/confaide
🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory"
Genentech/dcdfg
snu-mllab/Targeted-Cause-Discovery
Official implementation for "Targeted Cause Discovery with Data-Driven Learning"
rmwu/sea
Sample, estimate, aggregate: A recipe for causal discovery foundation models
acmi-lab/local-causal-discovery
Code for the paper "Local Causal Discovery for Estimating Causal Effects".