268 Open source projects that are alternatives of or similar to adversarial-code-generation

Set of PyTorch modules for developing and evaluating different algorithms for embedding trees.

Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"

S2VT (seq2seq) video captioning with bahdanau & luong attention implementation in Tensorflow

TensorFlow reimplementation of Topic-to-Essay Generation with Neural Networks.

PyTorch port of the paper "Language to Logical Form with Neural Attention"

Attacking Vision based Perception in End-to-end Autonomous Driving Models

a payment application intended for deployment by the united states treasury

Deep sentence embedding using Sequence to Sequence learning

reproduction of Thermometer Encoding: One Hot Way To Resist Adversarial Examples in pytorch

Conjure: The Automated Constraint Modelling Tool

seq2seq attention tensorflow textrank context

A seq2seq with attention dialogue/MT model implemented by TensorFlow.

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Implementation of the paper "Language-agnostic representation learning of source code from structure and context".

Type4Py: Deep Similarity Learning-Based Type Inference for Python

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

Robustness benchmark for DNN models.

A minimal nmt example to serve as an seq2seq+attention reference.

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

Extensible Combinatorial Optimization Learning Environments

Signedness-Agnostic Strided-Interval

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

Translating English sentences to Marathi using Neural Machine Translation

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-AW

Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks

Neural machine translation implementation using dynet's python bindings

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Tool for detecting violations of ordering axioms in qsort/bsearch callbacks.

Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"

Sanskrit compound segmentation using seq2seq model

Simple keras chat bot using seq2seq model with Flask serving web

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

Code & pretrained models of novel deep graph matching methods.

fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer

General meta-Heuristic Optimization Solving Toolkit

A tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.

一个基于深度学习的中文聊天机器人，这里有详细的教程与代码，每份代码都有详细的注释，作为学习是美好的选择。A Chinese chatbot based on deep learning.

Audio-Visual Speech Recognition using Sequence to Sequence Models

TensorFlow Implementation of Twitter Chatbot

Neural Code Translator provides instructions, datasets, and a deep learning infrastructure (based on seq2seq) that aims at learning code transformations

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Beam search for neural network sequence to sequence (encoder-decoder) models.

Gathers Tensorflow deep learning models.

Theano implementation of Sequence-to-Sequence Autoencoder

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

Summarize Massive Datasets using Submodular Optimization

Static analysis of IEC 61131-3 programs

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

reimplementing Neural Summarization by Extracting Sentences and Words

TIRO - A hybrid iterative deobfuscation framework for Android applications

Source code for the examples accompanying the paper "Learning convex optimization control policies."

kbqa task-oriented qa seq2seq ir neo4j jena seq2seq tf chatbot chat

A PyTorch Implementation of "Attention Is All You Need"

A symbolic debugger for C/C++ (via LLVM), machine code, and JVM programs

This repository contains a new adversarial training method for Generative Conversational Agents

learning state-space targets in dynamical systems