Pinned Repositories
2018-MachineLearning-Lectures-ESA
Machine Learning Lectures at the European Space Agency (ESA) in 2018
6-DOF-Inertial-Odometry
IMU-Based 6-DOF Odometry
allennlp
An open-source NLP research library, built on PyTorch.
anago
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
Analytics_Vidhya
Codes related to activities on AV including articles, hackathons and discussions.
AnoGAN
Tensorflow Implementation of AnoGAN (Anomaly GAN)
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
antialiased-cnns
Antialiasing cnns to improve stability and accuracy. In ICML 2019.
Autoencoders-Variants
Pytorch implementations of various types of autoencoders
autoencoders_public
Automatic feature engineering using deep learning and Bayesian inference.
eggpan95's Repositories
eggpan95/2018-MachineLearning-Lectures-ESA
Machine Learning Lectures at the European Space Agency (ESA) in 2018
eggpan95/AnoGAN
Tensorflow Implementation of AnoGAN (Anomaly GAN)
eggpan95/Bayesian-deep-learning
Notes and codes of the topic "Bayesian deep learning"
eggpan95/binarygan
Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"
eggpan95/BOWser
baseline semantic parsing without syntax
eggpan95/ConcreteDropout
Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
eggpan95/Deep-Hash-Table-ICML18
"Efficient end-to-end learning for quantizable representations" accepted on ICML2018
eggpan95/Deep-SVDD
Repository for the Deep One-Class Classification ICML 2018 paper
eggpan95/deep_learning
Deep Learning
eggpan95/DeepDOA
Finding Direction of arrival (DOA) of small UAVs using Sparse Denoising Autoencoders and Deep Neural Networks.
eggpan95/DeepGlobe-Road-Extraction-Challenge
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
eggpan95/DropoutUncertaintyExps
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
eggpan95/DSDH-HashingCode
eggpan95/education
Materials for my lectures and for self-study in machine learning
eggpan95/GEM
eggpan95/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
eggpan95/gps_helper
Tools and examples for GPS
eggpan95/keras-tcn
Keras Temporal Convolutional Network.
eggpan95/LatentEntitiesExtraction
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text? Multi-Task Learning with Task-Grouping Model (CoNLL 2018)
eggpan95/lstm_anomaly_thesis
Anomaly detection for temporal data using LSTMs
eggpan95/magenta-demos
Demonstrations of Magenta Models
eggpan95/NAB
The Numenta Anomaly Benchmark
eggpan95/NLP-TextAnalytics-DeepLearning
A repository with NLP research ideas, implementations and applications along with applications of machine learning and deep learning
eggpan95/nlp_tasks
Natural Language Processing Tasks and References
eggpan95/Orbital_Mechanics
Useful programs for orbital mechanics
eggpan95/Progressively-Growing-Networks
Experiments on different dataset on how to grow networks during training to learn new image categories.
eggpan95/RAGAN
Residual attention generative adversarial networks for image-to-image translation
eggpan95/Safe-Visual-Navigation-tensorflow
Tensorflow implementation of "Richter et al., Safe Visual Navigation via Deep Learning and Novelty Detection, RSS, 2017"
eggpan95/seriesnet
Time series prediction using dilated causal convolutional neural nets (temporal CNN)
eggpan95/TCN
Sequence modeling benchmarks and temporal convolutional networks