lukysummer/Movie-Review-Sentiment-Analysis-LSTM-Pytorch

Stars
73
Rank 433,657 (Top 9 %)
Language
Python
Created almost 6 years ago
Updated almost 3 years ago

lukysummer/Movie-Review-Sentiment-Analysis-LSTM-Pytorch

lukysummer

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Classifying movie reviews as positive or negative using Word2Vec Embeddings & LSTM network

SkipGram_with_NegativeSampling_Pytorch

Implementation of Word2Vec: Skip Grams with Negative Sampling method in Pytorch to generate context words from vocabulary given a single input word

Jupyter Notebook

VisionTransformer-PyTorch

ViT fine-tuning and iterative erasing prediction algorithm using self-attention weights in PyTorch

Jupyter Notebook

WaveGAN-Speech-Synthesis

Implementation of WaveGAN using PyTorch to generate artificially-made human voices uttering digits "0" to "9".

Bahdanau-Attention-in-Pytorch

Simple Concatenative Atttention implemented in Pytorch

Machine-Translation-Seq2Seq-Keras

machine translation from English to French senteces of small vocabulary size (200~300 words) using encoder-decoder seq2seq model in Keras

Jupyter Notebook

OpenAI-Monte-Carlo-Control-for-Blackjack

Implementation of constant-alpha Monte Carlo Control Method to construct an optimal policy for playing the game of Blackjack

Part-of-Speech-Tagging-with-HMM

Automatic Part-of-Speech Tagging (labelling words as noun, verb, adjective, etc.) using Hidden Markov Model, trained on Brown Corpus

CycleGAN-in-Pytorch

Implementation of CycleGAN using PyTorch, for transforming horse images into zebra images

Facial-Keypoints-Detector

Facial Keypoints Detection + Applying Snapchat-like Filter with CNN in Pytorch & CV2

Face-Generation-with-DCGAN-in-Pytorch

Face Generation in Pytorch using DCGAN with a discriminator and a generator composed of CNN blocks

Topic-Modelling-using-LDA

Using Latent Drichlet Allocation (LDA) to predict underlying topics in a corpus of new headlines. Pre-processing of raw headline texts are performed beforehand.

Transfer-Learning-with-ResNet50

Jupyter Notebook

English-Text-Normalization-for-TTS

FeatureMapVisualizer

(PyPi package) Decoding Black Box of CNNs Using Feature Map Visualizations

Jupyter Notebook

ML-Papers-Keypoints

Summaries of important machine learning papers throughout history

Automatic-Speech-Recognition

Automatic Speech Recognition in Keras, done as a project for Udacity's NLP nanodegree

Jupyter Notebook

Neural-Style-Transfer

Pytorch Implementation of Style Transfer using Deep Convolutional Network

DQN-for-Lunar-Lander

DQN in Pytorch for training OpenAI's Lunar Lander

Sentence-Segmentation-w-Seq2Seq

when inputted a body of text, segments it into a meaningful units to be inserted in to a TTS model

Crop-White-Background-from-Images

Simple algorithm to crop the white background from an image that contains a single object

Jupyter Notebook

Kaggle-Cuisine-Prediction-Scala

Predicting cuisine type of a dish, given its list of ingredients (Kaggle dataset)

7-Different-Shaders-Using-GLSL

A shader is program that decides the colour of each pixel rendered for an object. I implemented 7 different shaders in OpenGL Shading Language (GLSL). Each shader used vertex shader and fragment shader that incorporated ambient, diffuse, and specular lighting.

Adversarial-Discriminative-Domain-Adaptation-in-PyTorch

Google Colab notebook containing step-by-step instructions to train Adversarial Discriminative Domain Adaptation (ADDA) framework using multi-label data

Jupyter Notebook