CMU Locus Lab (@locuslab)
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Top repositories

1

TCN

Sequence modeling benchmarks and temporal convolutional networks
Python
4,122
star
2

convmixer

Implementation of ConvMixer for "Patches Are All You Need? 🤷"
Python
1,059
star
3

mpc.pytorch

A fast and differentiable model predictive control (MPC) solver for PyTorch.
Python
865
star
4

deq

[NeurIPS'19] Deep Equilibrium Models
Python
719
star
5

qpth

A fast and differentiable QP solver for PyTorch.
Python
673
star
6

wanda

A simple and effective LLM pruning approach.
Python
602
star
7

optnet

OptNet: Differentiable Optimization as a Layer in Neural Networks
Python
507
star
8

trellisnet

[ICLR'19] Trellis Networks for Sequence Modeling
Python
473
star
9

fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM
Python
422
star
10

SATNet

Bridging deep learning and logical reasoning using a differentiable satisfiability solver.
Python
404
star
11

convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.
Python
378
star
12

smoothing

Provable adversarial robustness at ImageNet scale
Python
357
star
13

pytorch_fft

PyTorch wrapper for FFTs
Python
313
star
14

lcp-physics

A differentiable LCP physics engine in PyTorch.
Python
292
star
15

icnn

Input Convex Neural Networks
Python
274
star
16

differentiable-mpc

Python
239
star
17

mdeq

[NeurIPS'20] Multiscale Deep Equilibrium Models
Python
232
star
18

e2e-model-learning

Task-based end-to-end model learning in stochastic optimization
Python
195
star
19

ect

Consistency Models Made Easy
Python
188
star
20

deq-flow

[CVPR 2022] Deep Equilibrium Optical Flow Estimation
Python
177
star
21

robust_overfitting

Python
153
star
22

DC3

DC3: A Learning Method for Optimization with Hard Constraints
Python
133
star
23

cfd-gcn

Python
113
star
24

massive-activations

Code accompanying the paper "Massive Activations in Large Language Models"
Python
95
star
25

tofu

Landing Page for TOFU
Python
86
star
26

FLYP

Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models
Python
85
star
27

projected_sinkhorn

Python
85
star
28

torchdeq

Modern Fixed Point Systems using Pytorch
Python
74
star
29

perturbation_learning

Learning perturbation sets for robust machine learning
Python
64
star
30

scaling_laws_data_filtering

Python
59
star
31

lml

The Limited Multi-Label Projection Layer
Python
58
star
32

deq-ddim

Python
58
star
33

chatllm-vscode

TypeScript
58
star
34

edge-of-stability

Python
55
star
35

robust-nn-control

Enforcing robust control guarantees within neural network policies
Python
52
star
36

monotone_op_net

Monotone operator equilibrium networks
Jupyter Notebook
51
star
37

orthogonal-convolutions

Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
Jupyter Notebook
41
star
38

convmixer-cifar10

Simple CIFAR-10 classification with ConvMixer
Python
40
star
39

newton_admm

A Newton ADMM based solver for Cone programming.
Python
38
star
40

tta_conjugate

Test-Time Adaptation via Conjugate Pseudo-Labels
Python
36
star
41

T-MARS

Code for T-MARS data filtering
Python
34
star
42

stable_dynamics

Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
Jupyter Notebook
31
star
43

ImpSq

Implicit^2: Implicit model for implicit neural representations
Python
27
star
44

robust_union

[ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.
Python
25
star
45

breaking-poisoned-classifier

Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"
Jupyter Notebook
24
star
46

diffusion-model-hallucination

Python
24
star
47

acr-memorization

Python
24
star
48

gradient_regularized_gan

Code for "Gradient descent GAN optimization is locally stable"
Python
21
star
49

get

Generative Equilibrium Transformer
Python
17
star
50

smoothinv

Single Image Backdoor Inversion via Robust Smoothed Classifiers
Python
16
star
51

intermediate_robustness

Python
16
star
52

mixing

The Mixing method: coordinate descent for low-rank semidefinite programming
C
15
star
53

dreaml

dreaml: dynamic reactive machine learning
JavaScript
12
star
54

ase

Analogous Safe-state Exploration (ASE) is an algorithm for provably safe and optimal exploration in MDPs with unknown, stochastic dynamics.
Python
11
star
55

sdp_clustering

Jupyter Notebook
11
star
56

JIIO-DEQ

Efficient joint input optimization and inference with DEQ
Python
10
star
57

uniform-convergence-NeurIPS19

The code for the NeurIPS19 paper and blog on "Uniform convergence may be unable to explain generalization in deep learning".
Jupyter Notebook
10
star
58

sdp_mrf

Jupyter Notebook
3
star
59

mixsat

Low-rank semidefinite programming for the MAX2SAT problem
C
3
star
60

MonotoneDBM

Python
2
star
61

lipschitz_mondeq

Jupyter Notebook
1
star
62

mugrade

Python
1
star