timrudner
PhD Candidate in Computer Science, University of Oxford. Member of @OATML and @OxMLCS. Supervised by @yaringal and @ywteh.
Oxford, UK
timrudner's Stars
Peldom/papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
leojklarner/context-guided-diffusion
Code for the paper Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
tatsu-lab/linguistic_calibration
Align your LM to express calibrated verbal statements of confidence in its long-form generations.
koekeishiya/yabai
A tiling window manager for macOS based on binary space partitioning
wilson-labs/cola
Compositional Linear Algebra
tatsu-lab/alpaca_farm
A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
allenai/RL4LMs
A modular RL library to fine-tune language models to human preferences
kohpangwei/group_DRO
Distributionally robust neural networks for group shifts
leojklarner/Q-SAVI
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
timrudner/FSVI
Code for the paper 'Tractable Function-Space Variational Inference in Bayesian Neural Networks'
timrudner/function-space-empirical-bayes
Code for the paper 'Function-Space Regularization in Neural Networks: A Probabilistic Perspective'
PiotrNawrot/nanoT5
Fast & Simple repository for pre-training and fine-tuning T5-style models
natolambert/cv
My YAML cv and resume.
rajpurkarlab/BenchMD
yucenli/bnn-bo
Bayesian Neural Network Surrogates for Bayesian Optimization
facebookresearch/DomainBed
DomainBed is a suite to test domain generalization algorithms
masatsuneki/histopathology-image-caption
YyzHarry/SubpopBench
[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
tysam-code/hlb-CIFAR10
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
stanfordmlgroup/CheXbert
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
mmcdermott/chexpertplusplus
Source implementation and pointer to pre-trained models for Chexpert++, a BERT-based approximation to CheXpert for radiology report labeling.
matthias-wright/flaxmodels
Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
killiansheriff/LovelyPlots
Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.
timrudner/S-FSVI
Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'
conglu1997/v-d4rl
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Pulkit-Khandelwal/Reinforcement-Learning-Notebooks
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
google/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
conglu1997/nppac
Code to accompany the paper 'On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations'
modestyachts/CIFAR-10.1
Release of CIFAR-10.1, a new test set for CIFAR-10.