Alternatives and similar repositories for sidn-handbook

Users that are interested in sidn-handbook are comparing it to the libraries listed below

• amro-kamal / ObjectPose
  ☆13Updated 3 years ago
• hengyuan-hu / jax-vs-pytorch
  ☆13Updated 7 months ago
• nirgreshler / bayesian-online-planning
  The code for the paper "A Bayesian Approach to Online Planning" published in ICML 2024.
  ☆11Updated last year
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆17Updated 5 years ago
• NingMiao / InstaAug
  ☆13Updated 2 years ago
• yuqingd / cusp
  ☆15Updated 3 years ago
• allenai / ask4help
  Code for the Ask4Help project
  ☆22Updated 2 years ago
• Shalev-Lifshitz / MultiAgentVerification
  Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers
  ☆23Updated 7 months ago
• arubique / OCCAM
  This is an implementation of the paper "Are We Done with Object-Centric Learning?"
  ☆11Updated last month
• facebookresearch / ssorl
  Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
  ☆43Updated 2 years ago
• shellysheynin / Locally-SAG-Transformer
  Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"
  ☆15Updated 3 years ago
• taskography / taskography
  Task planning over 3D scene graphs
  ☆16Updated 3 years ago
• wyndwarrior / autoregressive-bbox
  ☆16Updated 3 years ago
• ssnl / poisson_quasimetric_embedding
  Open source code for paper "On the Learning and Learnability of Quasimetrics".
  ☆32Updated 2 years ago
• cmu-vision / cmu-vision.github.io
  ☆14Updated 6 months ago
• jotaf98 / shareddataset
  A PyTorch Dataset that caches samples in shared memory, accessible globally to all processes
  ☆22Updated 3 years ago
• facebookresearch / grounding-inductive-biases
  reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"
  ☆17Updated last year
• hammoudiproject / SuperpixelGridMasks
  SuperpixelGridMasks is an approach for sensor-based data augmentation towards image classification tasks and so on.
  ☆14Updated 2 years ago
• google-research / fooling-feature-visualizations
  Code for "Don't trust your eyes: on the (un)reliability of feature visualizations" (ICML 2024)
  ☆33Updated last year
• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• Jiacheng-Zhu-AIML / FOT
  Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data
  ☆26Updated 4 years ago
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆27Updated 4 years ago
• tsb0601 / MultiMon
  ☆25Updated 2 years ago
• princeton-pli / VLM_S2H
  Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
  ☆15Updated 4 months ago
• mihirp1998 / Slot-TTA
  Slot-TTA shows that test-time adaptation using slot-centric models can improve image segmentation on out-of-distribution examples.
  ☆26Updated 2 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 2 years ago
• lcswillems / automatic-curriculum
  Algorithms for curriculum learning. The code of the "Mastering Rate based Curriculum Learning" paper.
  ☆20Updated 6 years ago
• zhuxinqimac / CommutativeLieGroupVAE-Pytorch
  Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.
  ☆22Updated 2 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆46Updated 2 years ago
• facebookresearch / multi_view_active_learning
  Code for paper Rethinking the Data Annotation Process for Multi-view 3D Pose Estimation with Active Learning and Self-Training
  ☆22Updated 2 years ago