299 Open source projects that are alternatives of or similar to POPQORN

[CVPR 2022] S-attack library. Official implementation of two papers "Vehicle trajectory prediction works, but not everywhere" and "Are socially-aware trajectory prediction models really socially-aware?".

Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

A curated list of dedicated resources and applications

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

A tensorflow implementation of "Generating Sentences from a Continuous Space"

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

A Neural Network based Chatbot

Deep-Learning Model Exploration and Development for NLP

Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.

TensorFlow Tutorials

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

Deep learning codes and projects using Python

Thai Word Segmentation and Part-of-Speech Tagging with Deep Learning

keras project that parses and analyze english resumes

HDLTex: Hierarchical Deep Learning for Text Classification

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

Spying using Smartwatch and Deep Learning

State of the Art Neural Networks for Deep Learning

Codes and Templates from the SuperDataScience Course

Automatic trading bot (WIP)

This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)

An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.

Code for the unrestricted adversarial examples paper (NeurIPS 2018)

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Alternative approach for Adaptive Computation Time in TensorFlow

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Chainer implementation of Deepmind's Visual Attention Model paper

Code for Stanford CS224D: deep learning for natural language understanding

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

NLP tutorial

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

A curated (most recent) list of resources for Learning with Noisy Labels

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Sentiment Analysis LSTM recurrent neural network's.

Anomaly detection for temporal data using LSTMs

Self driving car in GTAV with Deep Learning

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

TensorFlow Implementation of Twitter Chatbot

News summarization using sequence to sequence model with attention in TensorFlow.

Singing Voice Separation via Recurrent Inference and Skip-Filtering Connections - PyTorch Implementation. Demo:

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Recentrifuge: robust comparative analysis and contamination removal for metagenomics

SRU is a recurrent unit that can run over 10 times faster than cuDNN LSTM, without loss of accuracy tested on many tasks.

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction