Starred repositories
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning (ICML 2024)
A reading list for papers on causality for natural language processing (NLP)
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
A collection of research materials on explainable AI/ML
[NeurIPS'24] Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference
Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""
Set of tools to assess and improve LLM security.
🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.
Repository for "Differentiable Causal Discovery from Interventional Data"
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
🔥Highlighting the top ML papers every week.
Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.
A library for mechanistic interpretability of GPT-style language models
Code & data for ICLR 2024 spotlight paper: 🍯MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
💡 Adversarial attacks on explanations and how to defend them
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
Conditional GAN for generating synthetic tabular data.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Graph Neural Network Library for PyTorch
Official repository of "Diffusion-based Image Translation using Disentangled Style and Content Representation" ( ICLR 2023 )
PyTorch implementation of normalizing flow models
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓
Training and evaluating NBM and SPAM for interpretable machine learning.
