Alternatives and similar repositories for VML_Examples

Users that are interested in VML_Examples are comparing it to the libraries listed below

• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆61Updated 2 years ago
• alif-munim / minOFT
  A minimal re-implementation of orthogonal fine-tuning (OFT) for LLMs. Based on nanoGPT and minLoRA.
  ☆12Updated last year
• lzzcd001 / nabla-gfn
  Official Implementation of Nabla-GFlowNet (ICLR 2025)
  ☆19Updated 2 weeks ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆45Updated 2 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• wy1iu / butterfly-oft
  Official implementation of "Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization"
  ☆77Updated last year
• wy1iu / OPT
  Implementation for <Orthogonal Over-Parameterized Training> in CVPR'21.
  ☆19Updated 3 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated last year
• energy-based-model / energy-based-model
  ☆34Updated 3 years ago
• NVlabs / TCM
  Codebase of Truncated Consistency Models (ICLR 2025)
  ☆23Updated 3 months ago
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆45Updated 2 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆35Updated 3 years ago
• locuslab / deq-ddim
  ☆60Updated 2 years ago
• hendrydong / NTK-and-MF-examples
  Visualization of mean field and neural tangent kernel regime
  ☆20Updated 9 months ago
• jsu27 / decomp_diffusion
  [ICML 2024] Compositional Image Decomposition with Diffusion Models
  ☆50Updated 10 months ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆84Updated last year
• tsb0601 / MultiMon
  ☆24Updated last year
• zihao12 / concept-algebra
  ☆26Updated 2 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆35Updated 6 months ago
• mwalmer-umd / vit_analysis
  ☆34Updated last year
• NingMiao / InstaAug
  ☆13Updated 2 years ago
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆15Updated 4 years ago
• apple / ml-agm
  ☆45Updated last year
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆63Updated 3 years ago
• fKunstner / noise-sgd-adam-sign
  ☆16Updated 2 years ago
• Newbeeer / V-information
  Code for the ICLR 2020 Paper, "A Theory of Usable Information under Computational Constraints"
  ☆26Updated 4 years ago
• wildphoton / Compositional-Generalization
  [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…
  ☆13Updated 2 years ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆89Updated last year
• marcojira / fld
  PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
  ☆48Updated 7 months ago
• PingchuanMa / SGA
  [ICML 2024] LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
  ☆72Updated 11 months ago