andrewliao11 / awesome-neural-programming
A curated list of awesome neural programming resources
☆55Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for awesome-neural-programming
- Framework of DataLog Neural Program Synthesis☆26Updated 5 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 5 years ago
- in progress☆72Updated 6 years ago
- Learning with latent language☆50Updated 3 years ago
- Neural Programmer-Interpreter Implementation (Reed, de Freitas: https://arxiv.org/abs/1511.06279), in Tensorflow☆42Updated 6 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆39Updated 5 years ago
- Karel dataset for program synthesis and program induction☆78Updated 6 years ago
- Translating neuralese☆43Updated 7 years ago
- learning to search in pytorch☆111Updated 4 years ago
- An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonw…☆102Updated last year
- Code for Emergent Translation in Multi-Agent Communication☆80Updated 6 years ago
- Measuring compositionality in representation learning☆71Updated 5 years ago
- Off the convex path☆68Updated last year
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆55Updated 7 years ago
- Logistic Circuits☆35Updated 5 years ago
- Program Synthesis☆144Updated 3 years ago
- Code for the paper "Representation Learning for Grounded Spatial Reasoning"☆52Updated 4 years ago
- Code and data for the CoNLL 2018 paper "Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge."☆25Updated 5 years ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆58Updated 3 years ago
- ☆45Updated 7 years ago
- ☆57Updated 6 years ago
- ☆42Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 6 years ago
- NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science☆131Updated 5 years ago
- Scrapes the abstracts to NIPS 2017 papers.☆40Updated 7 years ago
- demonstration for our ACL 2018 paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition"☆11Updated 5 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Professor Forcing, NIPS'16☆45Updated 7 years ago
- Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"☆14Updated 8 years ago