gblackout / NLIL
Neural Logic Inductive Learning
☆41Updated 2 years ago
Related projects: ⓘ
- Conditional Theorem Proving☆51Updated 3 years ago
- Code for Neural Execution Engines: Learning to Execute Subroutines☆16Updated 3 years ago
- ☆21Updated 2 years ago
- A curated paper list on neural symbolic and probabilistic logic.☆109Updated last year
- ☆44Updated 4 years ago
- ☆28Updated 5 years ago
- ☆25Updated 9 months ago
- ☆65Updated last month
- ☆54Updated last year
- Neural-Grammar-Symbolic Learning with Back-Search☆53Updated last month
- Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization☆14Updated 2 years ago
- ☆32Updated 6 months ago
- ☆16Updated 3 years ago
- The multi-modal sequence to sequence baseline neural models used in the Grounded SCAN paper.☆16Updated 3 years ago
- GPFL - Learning logical rules from knowledge graphs.☆5Updated 3 years ago
- ☆16Updated 3 years ago
- ☆39Updated 10 months ago
- ☆10Updated last year
- Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language☆90Updated 4 months ago
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆22Updated 3 years ago
- Implements the Messenger environment and EMMA model.☆22Updated last year
- Multi-Hop Logical Reasoning in Knowledge Graphs☆21Updated 2 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆20Updated 3 years ago
- ☆20Updated last year
- Code for our NeurIPS 2019 paper "Quantum Embedding of Knowledge for Reasoning" (authors: Dinesh Garg, Shajith Ikbal, Santosh K Srivastava…☆24Updated 3 years ago
- DeepLogic: Towards End-to-End Differentiable Logical Reasoning☆23Updated 4 years ago
- Tensorflow implementation of Invariant Rationalization☆47Updated last year
- Neuro-Symbolic Hierarchical Rule Induction☆10Updated last year
- ☆31Updated 3 years ago
- ☆20Updated 2 years ago