Stars
Repo for "OTTER: Effortless Label Distribution Adaptation of Zero-shot Models" (NeurIPS 2024)
Comprehensive Evaluation of Feature Attribution Methods in Heart Anomaly Detection
Taming False Positives in Out-of-Distribution Detection with Human Feedback (AISTATS '24)
Multi and Univariate Hawkes Process Implementation along with MLE
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling (NeurIPS 2024)
Official repository for ICLR 2024 Spotlight paper "Large Language Models Are Not Robust Multiple Choice Selectors"
CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
Python 3.8+ toolbox for submitting jobs to Slurm
Tests for long context window evaluation
Repository for the paper "MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance"
Proof-of-concept of global switching between numpy/jax/pytorch in a library.
Fast and memory-efficient exact attention
[NeurIPS 2024] A task generation and model evaluation system for multimodal language models.
Transformerx: JAX implementation of modern transformers
Mitigating Source Bias for Fairer Weak Supervision (NeurIPS 2023)
Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
A tiny library for coding with large language models.
The official codebase for "Empowering Diffusion Models on the Embedding Space for Text Generation" (NAACL 2024)
A Survey on Data Selection for Language Models
Convert scikit-learn models to PyTorch modules