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10 search results found

Neural Symbolic Machines ⭐ 346

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

Spiral Tensorflow ⭐ 113

Program_synthesis ⭐ 112

Program Synthesis

Deepcoder ⭐ 99

Deepcoder paper implementation

Deep Coder ⭐ 80

Re-implement DeepCoder (https://openreview.net/pdf?id=ByldLrqlx)

Demo2program ⭐ 80

An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, and Joseph J. Lim

PLUR (Programming-Language Understanding and Repair) is a collection of source code datasets suitable for graph-based machine learning. We provide scripts for downloading, processing, and loading the datasets. This is done by offering a unified API and data structures for all datasets.

Neural_inverse_knitting ⭐ 27

Code for Neural Inverse Knitting: From Images to Manufacturing Instructions

Intention To Code Lstm ⭐ 13

Source Code Generation Based On User Intention Using LSTM Networks

Mlprogram ⭐ 12

PyTorch library for synthesizing programs from natural language

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