Github: https://github.com/RajkumarGalaxy
Kaggle: https://www.kaggle.com/rajkumarl
Tags: NLP | Information Retrieval | NLTK | Web Scraping | BeautifulSoup | Python-OOP
Description: A ChatBot that responds to humans by retrieving information from Wikipedia!
Link to Project: https://github.com/RajkumarGalaxy/Wiki-IR-ChatBot
Tags: NLP | NLU | DialoGPT model | Transformer | Python-OOP
Description: Intelligent ChatBot built with Microsoft's DialoGPT transformer to make conversations with human users!
Link to Project: https://github.com/RajkumarGalaxy/Conversational-AI-ChatBot
Tags: Time-Series | ResNET | ML Interpretation with SHAP | Feature Engg
Description: Predicting share market price using LSTM-based ResNET architecture.
Link to Project: https://github.com/RajkumarGalaxy/Jane-Street-Market-Prediction
Tags: NLP | HuggingFace | Transformers | Pipelines
Description: Tasks such as Sentiment Analysis, Feature Extraction, Zero-shot Classification, Text generation, Mask filling, NER, Question Answering, Text summarization and Translation are performed.
Link to Project: https://www.kaggle.com/rajkumarl/nlp-tutorial-finish-tasks-in-two-lines-of-code
Tags: Data Scraping | Text Mining | Reddit API | PRAW
Description: Ruddit Comments extracted from Reddit using Python Web Scraper PRAW based on a recent research paper.
Link to Project: https://github.com/RajkumarGalaxy/ruddit-comments
Tags: NLP | BERT | PyTorch | Transformers | Fine-tuning | GLUE Benchmark
Description: Sentiment Analysis on WNLI by fine-tuning a BERT model in PyTorch.
Link to Project: https://www.kaggle.com/rajkumarl/nlp-tutorial-fine-tuning-in-pytorch
Tags: Computer Vision | OpenCV | TensorFlow | U-Net | ResNet Encoder | Data Collection
Description: Data collection and cleaning, Data pre-processing, Modelling U-Net Architecture with a pre-trained ResNet encoder, Fine-tuning, Model evaluation
Data Collection: https://www.kaggle.com/rajkumarl/how-to-convert-matlab-file-into-png-image-file
ML Modeling: https://www.kaggle.com/rajkumarl/get-started-with-semantic-segmentation
Tags: Computer Vision | Python | Convolution | Cross-Correlation | Image Filter
Description: Tasks such as Cross-correlation, Convolution, Properties of convolution with proof, Moving average filter, Gaussian filter, Edge filter and separable filters are performed.
Link to Project: https://www.kaggle.com/rajkumarl/computer-vision-linear-filtering
Tags: Computer Vision | Python | NumPy | Histogram Equalization | Signal Processing
Description: Tasks such as Brightness-Contrast adjustments, Mirroring, Colour analysis, Histogram Equalization, Contrast stretching and Contrast reversing are performed.
Link to Project: https://www.kaggle.com/rajkumarl/computer-vision-basic-image-processing
Tags: NLP | BERT | TensorFlow | Transformers | Fine-tuning | GLUE Benchmark
Description: Sentiment Analysis on SST2 by fine-tuning a BERT model in TF & Keras.
Link to Project: https://www.kaggle.com/rajkumarl/nlp-tutorial-fine-tuning-in-pytorch
Tags: NLP | TensorFlow | Keras | LSTM | RNN | End-to-end ML
Description: Sentiment Analysis on IMDB Reviews in TF & Keras built from scratch.
Link to Project: https://www.kaggle.com/rajkumarl/get-started-with-sentiment-analysis-tf-keras
Tags: Computer Vision | Variational AutoEncoder | TensorFlow | Fashion MNIST | CNN
Description: Image Generation with a Variational AutoEncoder using Fashion MNIST dataset
Link to Project: https://www.kaggle.com/rajkumarl/get-started-with-image-generation