1654 Open source projects that are alternatives of or similar to Eeg Dl

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Chatbot in 200 lines of code using TensorLayer

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

Augmenting word embeddings with their surrounding context using bidirectional RNN

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Sentiment Analysis with LSTMs in Tensorflow

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

Implementation of Neural Image Captioning model using Keras with Theano backend

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

TensorFlow template application for deep learning

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

language model in Chinese，基于Pytorch官方文档实现

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Application of machine learning to the Coinbase (GDAX) orderbook

keras를 이용한 딥러닝 기초 학습

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

NN based lossless compression

Gluon to PyTorch deep neural network model converter

A bidirectional LSTM with attention for multiclass/multilabel text classification.

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.

Tools to Design or Visualize Architecture of Neural Network

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

My Attempt(s) In The World Of ML/DL....

copper price(time series) prediction using bpnn and lstm

Classification with PyTorch.

PyTorch implementation of CNNs for CIFAR benchmark

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

A Tensorfflow implementation of Attend, Infer, Repeat

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Hierarchical Attentive Recurrent Tracking

Char-level RNN LSTM text generator📄.

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

Attention-guided CNN for image denoising(Neural Networks,2020)

基于深度学习识别12306验证码

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Datasets, tools, and benchmarks for representation learning of code.

Various CNN models for CIFAR10 with Chainer

All my experiments with AI and ML

reference tensorflow code for named entity tagging

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Machine learning, in numpy

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF