object-trackingMultiple Object Tracking System in Keras + (Detection Network - YOLO)
Stars: ✭ 89 (+423.53%)
EBIM-NLIEnhanced BiLSTM Inference Model for Natural Language Inference
Stars: ✭ 24 (+41.18%)
R UnetVideo prediction using lstm and unet
Stars: ✭ 25 (+47.06%)
object detectionImplementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection
Stars: ✭ 13 (-23.53%)
datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
Stars: ✭ 20 (+17.65%)
pose2actionexperiments on classifying actions using poses
Stars: ✭ 24 (+41.18%)
YOLOv3-CoreMLYOLOv3 for iOS implemented using CoreML.
Stars: ✭ 166 (+876.47%)
tf2-yolo3object detection using yolo3 with tensorflow-2.x
Stars: ✭ 38 (+123.53%)
yolov4 trt rosYOLOv4 object detector using TensorRT engine
Stars: ✭ 89 (+423.53%)
QTextRecognizerA gui for tesseractOCR with some preprocessing image options (OpenCV) for improve character recognition
Stars: ✭ 27 (+58.82%)
SpeakerDiarization RNN CNN LSTMSpeaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).
Stars: ✭ 56 (+229.41%)
MTL-AQAWhat and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
Stars: ✭ 38 (+123.53%)
vrpdrDeep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.
Stars: ✭ 36 (+111.76%)
dnd-lstmA Python(PyTorch) implementation of memory augmented neural network based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall. ICML.
Stars: ✭ 30 (+76.47%)
pred-rnnPredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
Stars: ✭ 115 (+576.47%)
ScaledYOLOv4Scaled-YOLOv4: Scaling Cross Stage Partial Network
Stars: ✭ 1,944 (+11335.29%)
Tess4AndroidA new fork base on tess-two and Tesseract 4.0.0
Stars: ✭ 31 (+82.35%)
extkerasPlayground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.
Stars: ✭ 18 (+5.88%)
ArrayLSTMGPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
Stars: ✭ 21 (+23.53%)
Show and TellShow and Tell : A Neural Image Caption Generator
Stars: ✭ 74 (+335.29%)
yolov3-iosUsing yolo v3 object detection on ios platform.
Stars: ✭ 55 (+223.53%)
TensorMONKA collection of deep learning models (PyTorch implemtation)
Stars: ✭ 21 (+23.53%)
lstm-numpyVanilla LSTM with numpy
Stars: ✭ 17 (+0%)
MachineLearningImplementations of machine learning algorithm by Python 3
Stars: ✭ 16 (-5.88%)
algorithmiaNo description or website provided.
Stars: ✭ 15 (-11.76%)
novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
Stars: ✭ 14 (-17.65%)
LSTM-sentiment-analysisLSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem
Stars: ✭ 19 (+11.76%)
BiLSTM-CRF-NER-PyTorchThis repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.
Stars: ✭ 109 (+541.18%)
LearningMetersPoemsOfficial repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700
Stars: ✭ 18 (+5.88%)
tfjs-yoloYOLO v3 and Tiny YOLO v1, v2, v3 with Tensorflow.js
Stars: ✭ 108 (+535.29%)
YOLOA pytorch implementation of YOLOv1-v3
Stars: ✭ 47 (+176.47%)
tf-ran-cellRecurrent Additive Networks for Tensorflow
Stars: ✭ 16 (-5.88%)
air writingOnline Hand Writing Recognition using BLSTM
Stars: ✭ 26 (+52.94%)
DrowsyDriverDetectionThis is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
Stars: ✭ 82 (+382.35%)
Time-Series-ForecastingRainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.
Stars: ✭ 27 (+58.82%)
bert-squeeze🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
Stars: ✭ 56 (+229.41%)
dltfHands-on in-person workshop for Deep Learning with TensorFlow
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dnn-lstm-word-segmentChinese Word Segmention Base on the Deep Learning and LSTM Neural Network
Stars: ✭ 24 (+41.18%)
voice zaloaidentifying gender and regional accent from speech
Stars: ✭ 35 (+105.88%)
deep-char-cnn-lstmDeep Character CNN LSTM Encoder with Classification and Similarity Models
Stars: ✭ 20 (+17.65%)
JSON2YOLOConvert JSON annotations into YOLO format.
Stars: ✭ 222 (+1205.88%)