brave-cattle

brave-cattle's Stars

• Blealtan/efficient-kan

  An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

  Language:Python3.5k308

• AdityaNG/kan-gpt

  The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling

  Language:Python66052

• tamlhp/awesome-machine-unlearning

  Awesome Machine Unlearning (A Survey of Machine Unlearning)

  Language:Jupyter Notebook65749

• qianc62/Corsair

  Counterfactual-inference-based Text-classification Debiasing Framework.

  Language:Python994

• zhihengli-UR/DebiAN

  Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)

  Language:Python233

• facebookresearch/Whac-A-Mole

  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"

  Language:Python403

• nnaisense/bayesian-flow-networks

  This is the official code release for Bayesian Flow Networks.

  Language:Python22023

• MaximeRobeyns/bayesian_flow_networks

  A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).

  Language:Python214

• myscience/bayesian-flow

  Unofficial Implementation of Bayesian Flow Network in easy PyTorch for didactic purposes

  Language:Python4

• Algomancer/Bayesian-Flow-Networks

  A simple implimentation of Bayesian Flow Networks (BFN)

  Language:Jupyter Notebook23214

• D-X-Y/AutoDL-Projects

  Automated deep learning algorithms implemented in PyTorch.

  Language:Python1.6k281

• google-research/nasbench

  NASBench: A Neural Architecture Search Dataset and Benchmark

  Language:Python678126

• AstraZeneca/awesome-shapley-value

  Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

  13510

• Lucas110550/Mitigating-poisoning-attack-by-Shapley-value

  Temporal code repo for "Mitigating poisoning attack by Shapley value"

  Language:Python4

• iancovert/fastshap

  An amortized approach for calculating local Shapley value explanations

  Language:Python8317

• Ugenteraan/Visualizing-CNN

  Visualize the weights of the convolution filters and feature maps.

  Language:Jupyter Notebook41

• chaitanyacsss/visualize_vgg16

  Visualizing weights and feature maps of VGG-16

  Language:Python5

• openai/improved-diffusion

  Release for Improved Denoising Diffusion Probabilistic Models

  Language:Python3k466

• KaiyangZhou/Dassl.pytorch

  A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

  Language:Python1.1k164

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python6.9k917