pujya-kvs

pujya-kvs's Stars

• edumunozsala/NMT-encoder-decoder-Attention

  A neural machine translator from english to spanish in tf2 using encoder-decoder with attention

  Language:Jupyter Notebook1010

• VinitSR7/Machine-Translation-using-encoder-decoder

  Encoder Decoder model for English to German Machine Translation Task

  Language:Jupyter Notebook22

• marknicholas15/Language_Translation

  Language translation from German to English Using Seq2Seq.

  Language:Jupyter Notebook2

• DarrenCarvalho/Language-Translation

  Translate texts in English to German

  Language:Jupyter Notebook2

• satweekcr7/german-to-english-translation

  german to english translation using nlp

  Language:Jupyter Notebook2

• KakaShI06/KakaShI06-Machine_translation

  English to German Machine Translation

  Language:Jupyter Notebook3

• shayneobrien/machine-translation

  Neural machine translation on the IWSLT-2016 dataset of Ted talks translated between German and English using sequence-to-sequence models with/without attention and beam search.

  Language:Jupyter Notebook41

• arunm8489/German-English-Machine-Translation

  German to english machine translation on multi30k german dataset.

  Language:Jupyter Notebook3

• gradient-ai/Seq-to-Seq-Machine-Translation

  Language:Jupyter Notebook14

• rish-16/Neural-Machine-Translation

  Neural Machine Translation model to translate English to German and vice versa.

  Language:Jupyter Notebook51

• monimoyd/NLPMachineTranslationUsingTransformer

  In this project, Machine Translation (German to English translation) is done using Transformer based on paper Attention is All you Need

  Language:Jupyter Notebook1

• emilyzfliu/vis-sounds

  Visually Indicated Sounds (6.869 Final Project) by Emily Liu (emilyzfliu) and Sarah Zhao (saqzhao)

  Language:Jupyter Notebook2

• MeidanGR/SpeechEmotionRecognition_Realtime

  Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).

  Language:Jupyter Notebook8619

• praweshd/speech_emotion_recognition

  In this project, the performance of speech emotion recognition is compared between two methods (SVM vs Bi-LSTM RNN).Conventional classifiers that uses machine learning algorithms has been used for decades in recognizing emotions from speech. However, in recent years, deep learning methods have taken the center stage and have gained popularity for their ability to perform well without any input hand-crafted features. Speech emotion on sets obtained from RAVDESS corpus is classified using a conventionally used Support Vector Machine (SVM) and its performance is compared to that of a bidirectional long short-term memory (LSTM).

  Language:Jupyter Notebook2611

• alsatwar/Alzheimers-Disease-detection-using-MRI-scans-and-Deep-CNNs

  Alzheimer's Detection based on Demented and Mild Demented scans using Transfer Learning algorithms: VGG19, NasNetLarge, Inception_V3, and Xception.

  Language:Jupyter Notebook10

• pavithra1507/Alzheimer-Disease-Detection-using-Linguistic-Cues

  Based on the speech, it is detected that whether a person has Alzheimer disease or not. CNN LSTM is used to train the model.

  Language:Python32

• ShreyanshJoshi/ML-based-Analysis-to-Identify-Speech-Features-Relevant-in-Predicting-Alzheimer-s

  ML and DL based models that predict (and classify) whether a person has Alzheimer's Disease or not by analyzing his/her speech.

  Language:Jupyter Notebook73

• PiyushM1/Alzheimers-Detection-by-Speech-Analysis

  Language:Jupyter Notebook2

• sukesh167/Depression-Detection-in-speech

  Detecting depression in a conversation using Convolutional Neral Network

  Language:Jupyter Notebook6118

• eera-l/Geras

  Accuracy comparison of a Bayesian Network and an LSTM in detecting Alzheimer's symptoms on the Pitt Corpus: https://dementia.talkbank.org/access/English/Pitt.html

  Language:Python92

• chirag126/Automatic_Alzheimer_Detection

  Automatic diagnosis of alzheimer

  Language:Python103

• prabalJain1998/Deep-Fake-Detection

  Detecting whether the Video is Fake or not with the help of Deep Learning Techniques.

  Language:Jupyter Notebook3

• omkardw23/DeepFake-Detection

  Using Convnets and advanced Image Processing techniques to detect DeepFake videos.

  Language:Jupyter Notebook103

• xinyooo/deepfake-detection

  DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

  Language:Jupyter Notebook9636

• gsychi/64CrazyhouseDeepLearning

  A deep learning Crazyhouse chess program that uses a Monte Carlo Tree Search (MCTS) based evaluation system and reinforcement to enhance its play style.

  Language:Python181

• AnthonyHadfield/CHESS

  A project to build a Deep Reinforcement Learning Chess Engine using tkinter graphics

  Language:Python2

• wmloh/ChessAI

  Developing a Chess AI agent using deep reinforcement learning and Monte-Carlo tree search

  Language:Python3

• jboyer4/Assignment-1-blackBoxTesting

  Language:Python1

• Kailari/cybersec-project

  Simple web application with a lot of vulnerabilities. Task was to create application with flaws and point out the issues and suggest possible fixes.

  Language:Java1

• project-insecurity/VulnWebApp

  Intentionally vulnerable web application

  Language:Python67