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20-newsgroup-topic-categorization

Categorization of 20 Newsgroup (Reddit-like opinion threads) entries by (1) pre-processing the entries by eliminating conjunctions, prepositions, and symbols, (2) extracting each entry's tf - idf features using open-source sklearn library, and (3) then applying Naive Bayes, Random Forest, Convolutional Neural Networks, and Decision Trees classification algorithms from open-source sklearn libraries to classify each entry to a correct topic. At the end, the performace of each algorithm was compared.

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

automatic-speech-recognition

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

bahdanau-attention-in-pytorch

Simple Concatenative Atttention implemented in Pytorch

bert-disaster-tweet-classification

(Kaggle Competition) Predict which tweets are about real disasters and which are not- 84.002% Accuracy

char-level-rnn

convolutional-siamese-net-with-omniglot-dataset

crop-white-background-from-images

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

cyclegan-in-pytorch

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

deepbach-nn-generating-bach-style-chorales

*In Progress* My practice of implementing of DeepBach: Deep NN that generates Bach-style chorales (source: github.com/Ghadjeres/DeepBach)

dog-breed-detection

Using transfer learning, (i) given a dog image, predicts the breed of the dog & (ii) given a human face image, predicts the most resembling dog breed of the face

dqn-for-lunar-lander

DQN in Pytorch for training OpenAI's Lunar Lander

english-text-normalization-for-tts

face-generation-with-dcgan-in-pytorch

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

facial-keypoints-detector

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

featuremapvisualizer

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

fraud-detection-using-gaussian-mixtures

Can we effectively detect fraudulent credit card transactions using Gaussian Mixture Model?

gridworld--random-policy-evaluation-and-value-iteration

Evaluation of Random Policy (equal probability of moving up, down, right, left) in a gridworld - State & Action Values computed (Solution to Excercise 4.1 in Reinforcement Learning: An Introduction by Sutton and Barto)

hand-written-numerical-digit-classification-

Labelling of 8x8 images of hand-written numerical digits (0 - 9) using k-NN, Naive Bayes, and Gaussian Bayes algorithms

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

kaggle-cuisine-prediction-scala

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

lukysummer.github.io

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

magenta

Magenta: Music and Art Generation with Machine Intelligence

ml-papers-keypoints

Summaries of important machine learning papers throughout history

mnist-hand-written-4-vs-9-classification-with-svm

Distinguishing between 28 x 28 images of hand-written "4" and "9" (the hardest pair to tell apart) using Support Vector Machine (SVM) algorithm with Stochastic Gradient Descent with momentum

movie-review-sentiment-analysis-lstm-pytorch

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

neural-style-transfer

Pytorch Implementation of Style Transfer using Deep Convolutional Network

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