OCROptical character recognition Using Deep Learning
Stars: ✭ 25 (+66.67%)
CRNN-OCR-liteLightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]
Stars: ✭ 130 (+766.67%)
CS231nPyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Stars: ✭ 47 (+213.33%)
torch-lrcnAn implementation of the LRCN in Torch
Stars: ✭ 85 (+466.67%)
ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
Stars: ✭ 202 (+1246.67%)
object-trackingMultiple Object Tracking System in Keras + (Detection Network - YOLO)
Stars: ✭ 89 (+493.33%)
question-pairA siamese LSTM to detect sentence/question pairs.
Stars: ✭ 25 (+66.67%)
Patient2VecPatient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Stars: ✭ 85 (+466.67%)
Speech-RecognitionEnd-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Stars: ✭ 21 (+40%)
iPerceiveApplying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
Stars: ✭ 52 (+246.67%)
SentimentAnalysisSentiment Analysis: Deep Bi-LSTM+attention model
Stars: ✭ 32 (+113.33%)
Machine-LearningThe projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
Stars: ✭ 54 (+260%)
Manhattan-LSTMKeras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.
Stars: ✭ 28 (+86.67%)
keras-deep-learningVarious implementations and projects on CNN, RNN, LSTM, GAN, etc
Stars: ✭ 22 (+46.67%)
Stock-PredictionLSTM RNN for sentiment-based stock prediction
Stars: ✭ 50 (+233.33%)
fiction generatorFiction generator with Tensorflow. 模仿王小波的风格的小说生成器
Stars: ✭ 27 (+80%)
theano-recurrenceRecurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
Stars: ✭ 40 (+166.67%)
Learning-Lab-C-LibraryThis library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated
Stars: ✭ 20 (+33.33%)
AttentionRepository for Attention Algorithm
Stars: ✭ 39 (+160%)
Robust-Deep-Learning-PipelineDeep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
Stars: ✭ 20 (+33.33%)
deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
Stars: ✭ 53 (+253.33%)
Intelligent-Bangla-typing-assistantArtificially intelligent typing assistant that suggest the next word using user typing history and full sentence using LSTM . Works with any environment (MS word, notepad, coding IDEs or anything)
Stars: ✭ 13 (-13.33%)
Sequence-Models-courseraSequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.
Stars: ✭ 53 (+253.33%)
myDLDeep Learning
Stars: ✭ 18 (+20%)
dtsA Keras library for multi-step time-series forecasting.
Stars: ✭ 130 (+766.67%)
fsauor2018基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析
Stars: ✭ 36 (+140%)
MogrifierLSTMA quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch
Stars: ✭ 58 (+286.67%)
SpectrumSpectrum is an AI that uses machine learning to generate Rap song lyrics
Stars: ✭ 37 (+146.67%)
Gradient-SamplesSamples for TensorFlow binding for .NET by Lost Tech
Stars: ✭ 53 (+253.33%)
digital peter aij2020Materials of the AI Journey 2020 competition dedicated to the recognition of Peter the Great's manuscripts, https://ai-journey.ru/contest/task01
Stars: ✭ 61 (+306.67%)
lstm-mathNeural network that solves math equations on the character level
Stars: ✭ 26 (+73.33%)
battery-rul-estimationRemaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs
Stars: ✭ 25 (+66.67%)
ntua-slp-semeval2018Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
Stars: ✭ 79 (+426.67%)
rnn2dCPU and GPU implementations of some 2D RNN layers
Stars: ✭ 26 (+73.33%)
traffic-predictionPredict traffic flow with LSTM. For experimental purposes only, unsupported!
Stars: ✭ 47 (+213.33%)
CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 30 (+100%)
CharLSTMBidirectional Character LSTM for Sentiment Analysis - Tensorflow Implementation
Stars: ✭ 49 (+226.67%)
deep-transTransliterating English to Hindi using Recurrent Neural Networks
Stars: ✭ 44 (+193.33%)
SentimentAnalysis(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
Stars: ✭ 40 (+166.67%)
autonomioCore functionality for the Autonomio augmented intelligence workbench.
Stars: ✭ 27 (+80%)
Dense BiLSTMTensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Stars: ✭ 48 (+220%)
lmkitlanguage models toolkits with hierarchical softmax setting
Stars: ✭ 16 (+6.67%)