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EleutherAI
- Berkeley CA
- @norabelrose
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"Distributions" that might not add to one.
Differentiable convex optimization layers
RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
Mixed integer programming for computing lipschitz constants of ReLU Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Code to support the guide to logical induction for software engineers (not yet published).
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)
An open source implementation of CLIP.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
Streaming sparse Gaussian process approximations
A highly efficient implementation of Gaussian Processes in PyTorch
Supporting code for Assistance Games as a Framework paper
Deep learning based retinal vessel segmentation for fluorescein angiography retinal images, IEEE Trans. Image Processing, 2020
A new algorithm for retrieving topological skeleton as a set of polylines from binary images
Hypothesis strategy to generate NetworkX graphs.
Code for replicating experiments from the paper, Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes, published in AISTATS 2022.
Graph theory (network) library for visualisation and analysis
An extremely well tested and commented red black tree implementation. Worth a look if you are studying the material.
Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback