myazdani / formal-algorithms-for-transformersLinks
PyTorch implementation of algorithms in https://arxiv.org/abs/2207.09238
☆13Updated 2 years ago
Alternatives and similar repositories for formal-algorithms-for-transformers
Users that are interested in formal-algorithms-for-transformers are comparing it to the libraries listed below
Sorting:
- A tutorial on JAX (https://github.com/google/jax/)☆47Updated 7 years ago
- Implementation of "Analysing Mathematical Reasoning Abilities of Neural Models"☆30Updated 2 years ago
- human-readable solution of an arbitrary optimization problem through Reinforcement Learning☆12Updated last week
- A simple OpenAI Gym environment for Neural Architecture Search (NAS)☆31Updated 5 years ago
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated 3 years ago
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- Massively Parallel and Asynchronous Architecture for Logic-based AI☆43Updated 3 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆53Updated 2 years ago
- Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021☆20Updated 4 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 4 years ago
- A deep learning library based on Pytorch focussed on low resource language research and robustness☆70Updated 4 years ago
- A multi-label text classifier to predict the subject areas of arXiv papers from their abstract bodies.☆18Updated 4 years ago
- Visualizing memorization in RNNs☆66Updated 5 years ago
- A repository containing the code for the Bistable Recurrent Cell☆47Updated 5 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 3 years ago
- Bayesian Bandits☆68Updated 2 years ago
- A barely barebone NumPy implementation of Hierarchical Temporal Memory.☆11Updated 2 years ago
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 9 months ago
- Hyperparameter tuning via uncertainty modeling☆49Updated last year
- Vectorizers for a range of different data types☆103Updated 3 months ago
- Tangle Software Library☆35Updated last year
- Evolution of Discrete data with Reinforcement Learning☆13Updated 6 years ago
- ⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems☆20Updated 2 years ago
- Neural Tangent Kernel (NTK) module for the scikit-learn library☆25Updated last year
- A Python package for generating concise, high-quality summaries of a probability distribution☆57Updated last week
- Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.☆32Updated last year
- Create real-time plots in Jupyter Notebooks.☆144Updated 2 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 5 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆24Updated 3 years ago
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆24Updated last year