Pinned Repositories
deep-l
Generative-adversarial-networks-Using-Pytorch-Keras
Digits images generation , Pix 2 Pix , Cycle-GAN,SVH numbers generation and New faces Generation using Linear hidden layers, Deep CGANS , and using Batch normalization to perform better in Generator and Discriminators.
ML-Personalised-FrameWork
Algorithms developed from scratch by de-bunking black box of ML-Algorithms
Natural-Language-Processing
Scraping techniques to collect data , Hidden Markov Model ,then clean it using NLTK-RE-Stop words , and applying TF-IDF , word2Vec ,Vectorization , POS Tags and apply different models. Also built as Spam classifier using Naive Bayes probabilistic Theorem.
Recurrent-Neural-Networks-Using-Keras-and-Pytorch
Long Short Term Memory is used for Image Caption Generation | Next Character Prediction | Movie review | Sequence models or feeding the input based on current & past inputs.
sample
Andrew-n-g's Repositories
Andrew-n-g/deep-l
Andrew-n-g/Generative-adversarial-networks-Using-Pytorch-Keras
Digits images generation , Pix 2 Pix , Cycle-GAN,SVH numbers generation and New faces Generation using Linear hidden layers, Deep CGANS , and using Batch normalization to perform better in Generator and Discriminators.
Andrew-n-g/ML-Personalised-FrameWork
Algorithms developed from scratch by de-bunking black box of ML-Algorithms
Andrew-n-g/Natural-Language-Processing
Scraping techniques to collect data , Hidden Markov Model ,then clean it using NLTK-RE-Stop words , and applying TF-IDF , word2Vec ,Vectorization , POS Tags and apply different models. Also built as Spam classifier using Naive Bayes probabilistic Theorem.
Andrew-n-g/Recurrent-Neural-Networks-Using-Keras-and-Pytorch
Long Short Term Memory is used for Image Caption Generation | Next Character Prediction | Movie review | Sequence models or feeding the input based on current & past inputs.
Andrew-n-g/sample