C1510 / agd_expLinks
Experimental version of jxbz/agd implementing support for bias terms, affine parameters, transformers, etc.
☆11Updated 2 years ago
Alternatives and similar repositories for agd_exp
Users that are interested in agd_exp are comparing it to the libraries listed below
Sorting:
- Quantification of Uncertainty with Adversarial Models☆30Updated 2 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- Hyperparameter tuning via uncertainty modeling☆47Updated last year
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆23Updated last year
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 4 months ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- A tutorial on JAX (https://github.com/google/jax/)☆47Updated 6 years ago
- PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI Alternative to Transformers" [arXiv 2022].☆17Updated 3 years ago
- Usable implementation of Mogrifier, a circuit for enhancing LSTMs and potentially other networks, from Deepmind☆19Updated last year
- AutoML Two-Sample Test☆20Updated 3 years ago
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated 2 years ago
- A Python package for generating concise, high-quality summaries of a probability distribution☆53Updated 4 months ago
- List of awesome JAX resources☆13Updated 2 years ago
- Understanding how features learned by neural networks evolve throughout training☆36Updated 9 months ago
- SPEAR: Programmatically label and build training data quickly.☆107Updated last year
- Neural Tangent Kernel (NTK) module for the scikit-learn library☆25Updated 10 months ago
- A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.☆12Updated last year
- Data Twinning☆25Updated 2 years ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated 9 months ago
- A neural network hyper parameter tuner☆30Updated last year
- An interpretable kNN based on aggregating the predictions of multiple 2d spaces.☆13Updated 9 months ago
- A variational auto-encoder (VAE) framework with a new type of prior "Variational Mixture of Posteriors" prior, or VampPrior for short.☆10Updated 4 years ago
- A barely barebone NumPy implementation of Hierarchical Temporal Memory.☆11Updated 2 years ago
- ☆10Updated 2 years ago
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆39Updated 3 years ago
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆20Updated last year
- A multi-label text classifier to predict the subject areas of arXiv papers from their abstract bodies.☆17Updated 3 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 4 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 5 years ago
- NLP Examples using the 🤗 libraries☆41Updated 4 years ago