ZhengyaoJiang / GradientInductionLinks
Framework of DataLog Neural Program Synthesis
☆26Updated 6 years ago
Alternatives and similar repositories for GradientInduction
Users that are interested in GradientInduction are comparing it to the libraries listed below
Sorting:
- Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Jo…☆52Updated 4 years ago
- End-to-End Differentiable Proving☆89Updated 6 years ago
- Learning with latent language☆51Updated 4 years ago
- Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)☆76Updated 5 years ago
- A curated list of awesome neural programming resources☆55Updated 7 years ago
- Neural Programmer-Interpreter Implementation (Reed, de Freitas: https://arxiv.org/abs/1511.06279), in Tensorflow☆41Updated 6 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆40Updated 6 years ago
- Karel dataset for program synthesis and program induction☆79Updated 7 years ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆60Updated 4 years ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆54Updated 7 years ago
- Experiment code for the ICLR 2020 paper "RTFM: Generalising to New Environment Dynamics via Reading".☆38Updated 3 years ago
- Template-DQN and DRRN agent implementations☆22Updated 2 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆26Updated 7 years ago
- SeqGAN but with more bells and whistles☆24Updated 7 years ago
- RelNN is a novel first-order deep neural model for relational learning.☆28Updated 7 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Translating neuralese☆44Updated 8 years ago
- Code for the paper "Representation Learning for Grounded Spatial Reasoning"☆52Updated 5 years ago
- Implementation of Grounded Language Learning in a 3D Simulated World (DeepMind)☆34Updated 7 years ago
- PyTorch implementation of Memory Augmented Self-Play☆52Updated 4 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated last year
- a light weight experiment reproducibility toolset☆40Updated 4 years ago
- learning to search in pytorch☆110Updated 5 years ago
- ☆84Updated 6 years ago
- Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. …☆33Updated 8 years ago
- A Pytorch implementation of "Measuring abstract reasoning in neural networks" in ICML 2018 by DeepMind☆38Updated 2 years ago
- Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028☆202Updated 2 years ago
- Code for our paper "Sparse Attentive Backtracking: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding" https://p…☆39Updated 6 years ago