Alternatives and similar repositories for Machine-Learning

Users that are interested in Machine-Learning are comparing it to the libraries listed below

• 2prime / Numerical-Algorithms
  Numerical Experiments
  ☆15Updated 8 years ago
• pppppass / ToolsSeminar
  Seminar on Selected Tools
  ☆24Updated 7 years ago
• 2prime / Paper-Reading
  Paper Reading
  ☆72Updated 7 years ago
• minicheshire / InResNet
  Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749
  ☆26Updated 5 years ago
• 2prime / ODE-DL
  Paper List For Linking ODE and Deep Learning
  ☆246Updated 5 years ago
• hendrydong / NTK-and-MF-examples
  Visualization of mean field and neural tangent kernel regime
  ☆23Updated last year
• zbh2047 / L_inf-dist-net
  [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
  ☆42Updated 3 years ago
• rajatvd / NeuralODE
  Experiments with Neural ODEs and Adversarial Attacks
  ☆44Updated 7 years ago
• Trinkle23897 / online-application-course-upload
  ☆36Updated 6 years ago
• MeckyWu / subspace-match
  ☆16Updated 7 years ago
• 2prime / LM-ResNet
  Code For Beyond Finite Layer Neural Network:Bridging Deep Architects and Numerical Differential Equations
  ☆15Updated 6 years ago
• leiwu0 / course.math_theory_nn
  Summer course on mathematical theory of deep learning
  ☆54Updated 6 years ago
• zkysfls / 20fall-
  ☆101Updated 6 years ago
• tengyuma / stats205_notes
  the public repo for stats205 scribe notes at Stanford University
  ☆14Updated 4 years ago
• ChongYou / robust-image-recovery
  ☆15Updated 5 years ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆79Updated 6 years ago
• hongyanz / TRADES-smoothing
  [JMLR] TRADES + random smoothing for certifiable robustness
  ☆14Updated 5 years ago
• Dolores2333 / MATH5411
  All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.
  ☆56Updated 5 years ago
• avirmaux / lipEstimation
  ☆59Updated 2 years ago
• gabrieleilertsen / nws
  Dissecting the weight space of neural networks
  ☆18Updated 4 years ago
• damaru2 / ntk
  NTK reading group
  ☆87Updated 6 years ago
• RuntianZ / adversarial-robustness-unlabeled
  Adversarially Robust Generalization Just Requires More Unlabeled Data
  ☆11Updated 6 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆112Updated 6 years ago
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆50Updated 4 years ago
• zeke-xie / Positive-Negative-Momentum
  [ICML 2021] The official PyTorch Implementations of Positive-Negative Momentum Optimizers.
  ☆27Updated 3 years ago
• BaoWangMath / EnResNet
  ☆20Updated 6 years ago
• ryanchankh / redunet_demo
  ☆84Updated 4 years ago
• alexalemi / vib_demo
  ☆94Updated 4 years ago
• fmi-basel / neural-tangent-transfer
  Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.
  ☆13Updated 5 years ago
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆59Updated 4 years ago