Emotion Classification is a Natural Language Processing task in Machine Learning where we can process text data and classify into different classes and can detect sentiment of given text.
Use a fine-tuned bert model from huggingface to process text and extract data from given text for four entities such as person, organization, location and misc entities
Automatic Speech Recognition using OpenAI's whisper model in python and create transcription from audio files locally and from websites like YouTube using python
Create wordcloud using python wordcloud library using both cli and python code and modify its behaviour using custom masks, stopwords and colors.
Replit Code V-1.5 3B is a groundbreaking code completion model by Replit, Inc. Trained on an expansive 1T tokens of code, it covers 30 languages, offering developers unmatched assistance and revolutionizing code completion.
Replit Code V-1.5 3B is a formidable tool in the developer's arsenal, offering a fusion of expansive training and real-world utility. By bridging the gap between coding intuition and machine learning, it sets the stage for a new era of programming.
We have different triditional and Machine Learning based methods for increasing our training data by changing data shape, adding noise or creating nearly similar data using current dataset. NLPAug is an open source python package for data augmentation using different methods and pretrained Deep Learning models.
