🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Machine Learning Pipelines for Kubeflow

Best Practices on Recommendation Systems

🏅 Collection of Kaggle Solutions and Ideas 🏅

Unofficial Python Api for NSE India stock exchange

Python wrapper for TA-Lib (http://ta-lib.org/).

This repository contains demos I made with the Transformers library by HuggingFace.

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

High level API for access to and analysis of financial data.

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

🎓 Sharing machine learning course / lecture notes.

Github repo with tutorials to fine tune transformers for diff NLP tasks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

📺 Discover the latest machine learning / AI courses on YouTube.

Content for Udacity's AI in Trading NanoDegree.

Improving Biomedical Pretrained Language Models with Knowledge [BioNLP 2021]

Personal repository of data science demonstrations and references

CakeChat: Emotional Generative Dialog System