Deep Learning and Machine Learning

Welcome to my Machine Learning and Deep Learning gig

My name is Saleh Ahmad (https://github.com/SalehAhmad1?tab=repositories) and I am computer scientist with countless years of experience in Natural Language Processing (NLP), Computer Vision (CV) and other Machine Learning Algorithms. It doesn't matter if the task is of supervised, unsupervised or reinforcement learning I am solving the problem.

Text Pre-Processing:

Lowercasing, Word/Sentence Tokenization, Parts Of Speech Tagging, Spelling Correction, Removal (stopwords, punctuations, urls, tags, numbers), Stemming, Lemmatization etc.

Vectorization:

Word Embeddings, GloVe, Word2Vec, Sentence Embeddings etc.

Machine Learning Algorithms:

Support Vector Machine, Nearest Neighbors, Naive Bayes, Decision Tree, Random Forest, Logistic Regression etc.

Deep Learning Algorithms:

GANs, CNNs, MLPs, LSTMs, RNNs etc

Transformers:

GPT, T5, BERT, roBERTa etc

Past Experience In:

1. Named Entity Recognition
2. Parts of Speech Tagging
3. Topic Modeling
4. Language Modeling
5. Text/Document Summarization
6. Sentence Similarity
7. Text Generation

Tools and Frameworks:

1. VS Code, Jupyter Notebook, Google Collab etc
2. Numpy, Pandas, Scikit learn etc
3. Pytorch, Keras etc