Alternatives and similar repositories for LeakPro

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

• OpenGPTX / lm-evaluation-harness
  A framework for few-shot evaluation of autoregressive language models.
  ☆12Updated 4 months ago
• nick11roberts / XD
  ☆12Updated 3 years ago
• hsndbk4 / GDWS
  Code for the paper titled "Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks" (NeurIPS…
  ☆11Updated 3 years ago
• matbun / EBM--Generative-Energy-Based-Modeling
  Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …
  ☆16Updated 4 years ago
• facebookresearch / SparseBO
  code associated with paper "Sparse Bayesian Optimization"
  ☆26Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆58Updated 2 years ago
• graphcore / distributed-kge-poplar
  The application is a end-user training and evaluation system for standard knowledge graph embedding models. It was developed to optimise …
  ☆18Updated 6 months ago
• google-deepmind / dks
  Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…
  ☆74Updated 4 months ago
• ENCCS / gnn_transformers_notebooks
  Notebooks for the ENCCS Graph Neural Networks and Transformers workshop
  ☆16Updated 2 years ago
• dualslash / reptile-torch
  PyTorch Implementation of Reptile
  ☆21Updated 4 years ago
• QuTech-Delft / OpenSquirrel
  A flexible (Python-based) quantum program compiler
  ☆12Updated this week
• citadel-ai / langcheckchat
  Self-evaluating RAG application on LangCheck docs
  ☆11Updated 2 months ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆81Updated last year
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆48Updated 4 years ago
• ebadrian / metadl
  NeurIPS 2021 - Few-shot learning competition
  ☆26Updated 4 years ago
• pnnl / DeepDataProfiler
  Python library for analyzing the internal structure of deep neural networks.
  ☆19Updated 3 months ago
• google-deepmind / ssl_hsic
  ☆38Updated last year
• MadryLab / bias-transfer
  ☆15Updated 3 years ago
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 3 years ago
• sandialabs / GenTen
  Software for Generalized Tensor Decompositions
  ☆14Updated last month
• TristanBilot / mlx-GCN
  MLX implementation of GCN, with benchmark on MPS, CUDA and CPU (M1 Pro, M2 Ultra, M3 Max).
  ☆24Updated last year
• dlmacedo / distinction-maximization-loss
  A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…
  ☆44Updated 3 years ago
• epoch-research / training-cost-trends
  ☆20Updated last week
• locuslab / intermediate_robustness
  ☆16Updated 3 years ago
• juntang-zhuang / ACProp-Optimizer
  Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)
  ☆16Updated 4 years ago
• d-doshi / Grokking
  ☆15Updated 9 months ago
• Yu-Group / adaptive-wavelets
  Adaptive, interpretable wavelets across domains (NeurIPS 2021)
  ☆82Updated 3 years ago
• f-dangel / vivit
  [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…
  ☆17Updated 2 years ago
• toshas / sttp
  Spectral Tensor Train Parameterization of Deep Learning Layers
  ☆15Updated 4 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 4 years ago