Projects in Awesome Lists by locuslab
A curated list of projects in awesome lists by locuslab .
https://github.com/locuslab/tcn
Sequence modeling benchmarks and temporal convolutional networks
Last synced: 14 May 2025
https://github.com/locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
Last synced: 26 Mar 2025
https://github.com/locuslab/convmixer
Implementation of ConvMixer for "Patches Are All You Need? 🤷"
Last synced: 16 May 2025
https://github.com/locuslab/mpc.pytorch
A fast and differentiable model predictive control (MPC) solver for PyTorch.
Last synced: 15 May 2025
https://github.com/locuslab/wanda
A simple and effective LLM pruning approach.
large-language-models network-pruning
Last synced: 12 Apr 2025
https://github.com/locuslab/qpth
A fast and differentiable QP solver for PyTorch.
deep-learning machine-learning optimization pytorch quadratic-programming
Last synced: 15 May 2025
https://github.com/locuslab/optnet
OptNet: Differentiable Optimization as a Layer in Neural Networks
deep-learning machine-learning optimization paper pytorch
Last synced: 05 Apr 2025
https://github.com/locuslab/trellisnet
[ICLR'19] Trellis Networks for Sequence Modeling
Last synced: 06 Apr 2025
https://github.com/locuslab/fast_adversarial
[ICLR 2020] A repository for extremely fast adversarial training using FGSM
Last synced: 04 Apr 2025
https://github.com/locuslab/SATNet
Bridging deep learning and logical reasoning using a differentiable satisfiability solver.
Last synced: 19 Jul 2025
https://github.com/locuslab/satnet
Bridging deep learning and logical reasoning using a differentiable satisfiability solver.
Last synced: 04 Apr 2025
https://github.com/locuslab/convex_adversarial
A method for training neural networks that are provably robust to adversarial attacks.
Last synced: 04 Apr 2025
https://github.com/locuslab/smoothing
Provable adversarial robustness at ImageNet scale
Last synced: 07 Apr 2025
https://github.com/locuslab/lcp-physics
A differentiable LCP physics engine in PyTorch.
Last synced: 09 Apr 2025
https://github.com/locuslab/open-unlearning
The one-stop repository for large language model (LLM) unlearning. Supports TOFU, MUSE, WMDP, and many unlearning methods. All features: benchmarks, methods, evaluations, models etc. are easily extensible.
benchmarks llm-evaluation-metrics llm-privacy llm-unlearning llms membership-inference membership-inference-attacks open-source privacy-protection right-to-be-forgotten unlearning
Last synced: 20 Jul 2025
https://github.com/locuslab/icnn
Input Convex Neural Networks
convex-optimization deep-learning reinforcement-learning research-paper
Last synced: 28 Feb 2026
https://github.com/locuslab/mdeq
[NeurIPS'20] Multiscale Deep Equilibrium Models
Last synced: 02 Sep 2025
https://github.com/locuslab/e2e-model-learning
Task-based end-to-end model learning in stochastic optimization
deep-learning machine-learning optimization paper pytorch stochastic-optimizers
Last synced: 23 Apr 2025
https://github.com/locuslab/tofu
A one-stop repository for large language model (LLM) unlearning. Supports TOFU, MUSE and is an easily extensible framework for new datasets, evaluations, methods, and other benchmarks.
benchmarks llm-evaluation-metrics llm-unlearning llms membership-inference-attack open-source privacy-protection right-to-be-forgotten unlearning
Last synced: 04 Apr 2025
https://github.com/locuslab/deq-flow
[CVPR 2022] Deep Equilibrium Optical Flow Estimation
Last synced: 24 Jul 2025
https://github.com/locuslab/dc3
DC3: A Learning Method for Optimization with Hard Constraints
Last synced: 23 Apr 2025
https://github.com/locuslab/massive-activations
Code accompanying the paper "Massive Activations in Large Language Models"
Last synced: 23 Apr 2025
https://github.com/locuslab/torchdeq
Modern Fixed Point Systems using Pytorch
deq equilibrium fixed-point fixed-point-method
Last synced: 06 Mar 2026
https://github.com/locuslab/flyp
Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models
Last synced: 09 Oct 2025
https://github.com/locuslab/perturbation_learning
Learning perturbation sets for robust machine learning
Last synced: 23 Apr 2025
https://github.com/locuslab/robust-nn-control
Enforcing robust control guarantees within neural network policies
Last synced: 06 Aug 2025
https://github.com/locuslab/monotone_op_net
Monotone operator equilibrium networks
Last synced: 23 Apr 2025
https://github.com/locuslab/orthogonal-convolutions
Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
Last synced: 23 Apr 2025
https://github.com/locuslab/convmixer-cifar10
Simple CIFAR-10 classification with ConvMixer
Last synced: 23 Apr 2025
https://github.com/locuslab/tta_conjugate
Test-Time Adaptation via Conjugate Pseudo-Labels
Last synced: 23 Apr 2025
https://github.com/locuslab/newton_admm
A Newton ADMM based solver for Cone programming.
Last synced: 23 Apr 2025
https://github.com/locuslab/stable_dynamics
Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
Last synced: 23 Apr 2025
https://github.com/locuslab/impsq
Implicit^2: Implicit model for implicit neural representations
Last synced: 06 Oct 2025
https://github.com/locuslab/breaking-poisoned-classifier
Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"
Last synced: 23 Apr 2025
https://github.com/locuslab/robust_union
[ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.
Last synced: 23 Apr 2025
https://github.com/locuslab/gradient_regularized_gan
Code for "Gradient descent GAN optimization is locally stable"
Last synced: 23 Apr 2025
https://github.com/locuslab/smoothinv
Single Image Backdoor Inversion via Robust Smoothed Classifiers
Last synced: 20 Oct 2025
https://github.com/locuslab/mixing
The Mixing method: coordinate descent for low-rank semidefinite programming
Last synced: 23 Apr 2025
https://github.com/locuslab/dreaml
dreaml: dynamic reactive machine learning
Last synced: 14 Oct 2025
https://github.com/locuslab/ase
Analogous Safe-state Exploration (ASE) is an algorithm for provably safe and optimal exploration in MDPs with unknown, stochastic dynamics.
Last synced: 23 Apr 2025
https://github.com/locuslab/uniform-convergence-neurips19
The code for the NeurIPS19 paper and blog on "Uniform convergence may be unable to explain generalization in deep learning".
Last synced: 02 Mar 2026
https://github.com/locuslab/jiio-deq
Efficient joint input optimization and inference with DEQ
Last synced: 23 Apr 2025
https://github.com/locuslab/mixsat
Low-rank semidefinite programming for the MAX2SAT problem
Last synced: 16 May 2026
https://github.com/locuslab/llm-idiosyncrasies
Code release for "Idiosyncrasies in Large Language Models"
Last synced: 20 Jul 2025