MLSurvival / TransferCox

Related projects ⓘ

Alternatives and complementary repositories for TransferCox

• ZidiXiu / ECRT
  Supercharging Imbalanced Data Learning WithCausal Representation Transfer
  ☆12Updated 2 years ago
• jiaqima / SODEN
  SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
  ☆13Updated last year
• Manuscrit / Area-Under-the-Margin-Ranking
  Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf
  ☆21Updated 4 years ago
• Kennethborup / self_distillation
  Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression
  ☆17Updated 3 years ago
• mdbloice / Patch-Augmentation
  Code for the implemenation of the Patch Augmentation technique
  ☆11Updated 4 years ago
• davidstutz / cvpr2019-adversarial-robustness
  CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".
  ☆14Updated 5 years ago
• sylvaincom / comparison-distributions
  [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…
  ☆10Updated last year
• vinodkkurmi / DiscriminatorDomainAdaptation
  ☆10Updated 4 years ago
• BorealisAI / ssl-for-timeseries
  Self Supervised Learning for Time Series Using Similarity Distillation
  ☆10Updated 2 years ago
• fmcarlucci / ADAGE
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Updated 5 years ago
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆13Updated 3 years ago
• arthurmensch / g-softmax
  Pytorch package for geometric softmax
  ☆12Updated 5 years ago
• thudzj / NEigenmaps
  ☆11Updated 7 months ago
• r-cui / GluPred
  "Personalised Short-Term Glucose Prediction via Recurrent Self-Attention Network" in CBMS 2021
  ☆11Updated 2 years ago
• wolfecameron / optimizers
  implements various optimizers from scratch for analysis and comparison
  ☆9Updated 4 years ago
• sortteam / kubeFL
  Federated Learning Infra Architecture on Kubernetes(EKS)
  ☆20Updated 4 years ago
• delta2323 / GB-GNN
  Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
  ☆13Updated 4 years ago
• xiaozhanguva / Cost-Sensitive-Robustness
  A general method for training cost-sensitive robust classifier
  ☆21Updated 5 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆21Updated last year
• khetan2 / MBEM
  Learning From Noisy Singly-labeled Data
  ☆19Updated 6 years ago
• CausalML / MultipleLoggers
  Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"
  ☆15Updated 3 years ago
• HazyResearch / augmentation_code
  Reproducible code for Augmentation paper
  ☆18Updated 5 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• PetarV- / X-CNN
  Cross-modal convolutional neural networks
  ☆11Updated 7 years ago
• duongtrung / time-series-temporal-saliency-patterns
  ☆15Updated last year
• a-lucic / focus
  ☆16Updated 2 years ago
• markdtw / temperature-scaling-tensorflow
  On Calibration of Modern Neural Networks - tensorflow implementation
  ☆30Updated 6 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• divamgupta / deep-clustering-kingdra
  Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning
  ☆48Updated 3 years ago
• mandt-lab / adversarial-negative-sampling
  Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
  ☆14Updated 4 years ago