Stars
Modeling, training, eval, and inference code for OLMo
code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]
Easily compute clip embeddings and build a clip retrieval system with them
✨✨Latest Advances on Multimodal Large Language Models
Collection of AWESOME vision-language models for vision tasks
[ICCV2023] Dataset Quantization
Simple data balancing baselines for worst-group-accuracy benchmarks.
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
A collection of AWESOME things about Graph-Related LLMs.
LAVIS - A One-stop Library for Language-Vision Intelligence
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.
ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."
A Multipurpose Library for Synthetic Time Series Generation in Python
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
PyTorch deep learning projects made easy.
Repository for the Explainable Deep One-Class Classification paper
Collection of generative models in Pytorch version.
[SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Code for Implicit Generation and Generalization with Energy Based Models
Real NVP PyTorch a Minimal Working Example | Normalizing Flow