fastforwardlabs / learning-to-learnLinks
☆13Updated 4 years ago
Alternatives and similar repositories for learning-to-learn
Users that are interested in learning-to-learn are comparing it to the libraries listed below
Sorting:
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 4 years ago
- Weakly Supervised Learning: Introduction and Best Practices☆12Updated 6 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- A simple algorithm to identify and correct for label shift.☆22Updated 7 years ago
- ☆22Updated 3 years ago
- Label shift experiments☆17Updated 4 years ago
- On Calibration of Modern Neural Networks - tensorflow implementation☆30Updated 7 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 6 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 3 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Code release for "Time Series Anomaly Detection by Cumulative Radon Features"☆12Updated 3 years ago
- ☆24Updated 4 months ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- ☆30Updated 7 years ago
- Code for "Zero-Shot Out-of-Distribution Detection with Feature Correlations"☆13Updated 5 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- A deep learning framework for building multimodal multi-task learning systems.☆111Updated 2 years ago
- Minimal implementation of Contrastive Predictive Coding for audio.☆17Updated 5 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 3 years ago
- Recurrent neural networks: building a custom LSTM/GRU cell in PyTorch☆28Updated 5 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 months ago
- 🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…☆42Updated 2 years ago
- The repository for various machine learning POC☆28Updated 4 years ago
- [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels☆35Updated 4 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 7 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆72Updated 2 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 4 years ago