Stars
Unofficial UMass thesis style files for use with LaTeX
Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"
A bare-bones Python library for quality diversity optimization.
Reference implementation for DPO (Direct Preference Optimization)
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization (ICML 2024)
A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparen…
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Google Research
This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
High-performance JAX-powered simulator for robotic navigation in 2D mazes, optimized for Quality-Diversity algorithm research and benchmarking.
EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data (NeurIPS 2023 Spotlight) / / / / When Does Perceptual Alignment Benefit Vision Representations? (NeurIPS 2024)
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A living benchmark framework for symbolic regression
A python implementation of differentiable quality diversity.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Optimizing Neural Networks with Gradient Lexicase Selection (ICLR 2022)
A feature engineering automation tool for learning data representations
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO