CodeNeuron
Code detector
Recurrent neural network designed to detect code blocks in text.
Recurrent neural network to split code snippets from text.
12 stars
3 watching
3 forks
Language: Python
last commit: almost 8 years agoLinked from 1 awesome list
src-d/awesome-machine-learning-on-source-codeRelated projects:
| Repository | Description | Stars |
|---|---|---|
 kootenpv/neural_complete | A tool to aid in writing neural network code by suggesting completions based on learned patterns from similar source code | 1,151 |
 msracver/relation-networks-for-object-detection | An implementation of an object detection framework that incorporates relation networks and deformable convolutions | 1,096 |
 paarthneekhara/rnn_adversarial_reprogramming | Repurposes pre-trained neural networks for new classification tasks through adversarial reprogramming of their inputs. | 6 |
 tianzhi0549/ctpn | Detects text in images using a neural network architecture | 1,282 |
 hciilab/derpn | Improves object detection by generating region proposals with increased adaptivity. | 156 |
 eniac-xie/faster-rcnn-resnet | A custom implementation of Faster R-CNN with ResNet architecture and Online Hard Example Mining. | 207 |
 jetbrains-research/astminer | A tool for mining path-based representations of code and data from various programming languages | 284 |
 mrphrazer/obfuscation_detection | Automatically detects obfuscated code and other complex code constructs in binaries to aid reverse engineering. | 580 |
| jetbrains-research/psiminer | A tool that processes code syntax trees to create datasets for machine learning pipelines | 58 |
 nv-tlabs/gscnn | This code implements a neural network architecture designed to perform semantic segmentation in computer vision tasks. | 920 |
 sanghoon/pva-faster-rcnn | Demonstrates a real-time object detection system based on PVANet | 650 |
 molcik/python-neuron | A Python library for implementing and training various neural network architectures | 40 |
 emited/variationalrecurrentneuralnetwork | A deep learning implementation of a VRNN model for sequential data processing | 282 |
 tusimple/mx-maskrcnn | An implementation of Mask R-CNN using MXNet and Resnet-50-FPN for object detection and segmentation in images. | 1,755 |
 vsitzmann/siren | An implementation of a neural network architecture for implicit function representation learning using periodic activation functions. | 1,776 |