Stars
Session on MLOps
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
GitHub Repo with various ML/AI/DS resources that I find useful
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Top2Vec learns jointly embedded topic, document and word vectors.
Build and train state-of-the-art natural language processing models using BERT
URLExtract is python class for collecting (extracting) URLs from given text based on locating TLD.
Essential and Fundametal aspects of Natural Language Processing with hands-on examples and case-studies
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Exploration of BERT-BiLSTM models with Layer Aggregation (attention-based and capsule-routing-based) and Hidden-State Aggregation (attention-based and capsule-routing-based).
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Notebooks for learning deep learning
🏅 Collection of Kaggle Solutions and Ideas 🏅
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
This repository belongs to google colab notebooks
Course Files for Complete Python 3 Bootcamp Course on Udemy
I am sharing this article wherein I have mentioned why I was rejected in my recent 3 interviews for the Data Science position. I hope my interview experiences might help others to get well prepared…
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.