neural_complete
Code completer
A tool to aid in writing neural network code by suggesting completions based on learned patterns from similar source code
A neural network trained to help writing neural network code using autocomplete
1k stars
43 watching
121 forks
Language: Python
last commit: almost 5 years ago
Linked from 1 awesome list
endymecy/awesome-deeplearning-resourcesRelated projects:
| Repository | Description | Stars |
|---|---|---|
 sriniiyer/codenn | An open-source project that uses machine learning to summarize source code using a neural attention model. | 237 |
 vmarkovtsev/codeneuron | Recurrent neural network designed to detect code blocks in text. | 12 |
 p-christ/nn_builder | Builds neural networks with less boilerplate code by providing a standardized interface for different architectures | 166 |
 codeplea/genann | A minimal C library for training and using feedforward artificial neural networks | 2,017 |
 molcik/python-neuron | A Python library for implementing and training various neural network architectures | 40 |
 ahmedfgad/numpycnn | A Python implementation of a Convolutional Neural Network from scratch using NumPy for building CNNs from scratch | 577 |
 neuralmagic/sparseml | Enables the creation of smaller neural network models through efficient pruning and quantization techniques | 2,083 |
 zkp-gravity/0g | A system for proving an inference pass for pre-trained neural networks on private inputs. | 40 |
 cupslab/neural_network_cracking | Software that uses neural networks to crack passwords | 229 |
 dnouri/nolearn | Provides a Python interface to integrate neural networks with scikit-learn, making it easier to use deep learning libraries like Lasagne. | 949 |
 zueve/neurolab | A Python library for building and training neural networks. | 163 |
 ck090/ocaml-nn | A monadic implementation of a fully-connected neural network in OCaml with customizable hyperparameters | 5 |
 wkentaro/fcn | An implementation of fully convolutional networks in Chainer, a deep learning framework. | 218 |
 zk-ml/uchikoma | A tool that translates neural network code into languages that can run on devices without floating-point operations. | 29 |