deepakthandra's repositories
approachingalmost
Approaching (Almost) Any Machine Learning Problem
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
EffectivePyTorch
PyTorch tutorials and best practices.
flask-base
A simple Flask boilerplate app with SQLAlchemy, Redis, User Authentication, and more.
gramex-nlg
Natural Language Generation for Gramex applications.
ml-from-scratch-1
All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
nlp_course
YSDA course in Natural Language Processing
NYC_Taxi_Pipeline
Design/Implement stream/batch architecture on NYC taxi data via MapReduce/Cloud tech. | #DE
Practical_RL
A course in reinforcement learning in the wild
scorecardpy
Scorecard Development in python, 评分卡
sdk-codegen
One SDK to rule them all, and in the codegen bind them
Spark-with-Python
Fundamentals of Spark with Python (using PySpark), code examples
Udacity-Data-Engineering-Projects
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
word2vec-GoogleNews-vectors
word2vec Google News model
Extending-Google-BERT-as-Question-and-Answering-model-and-Chatbot
BERT Question and Answer system meant and works well for only limited number of words summary like 1 to 2 paragraphs only. It can’t be able to answer well from understanding more than 10 pages of data. We can extend the BERT question and answer model to work as chatbot on large text. To accomplish the understanding of more than 10 pages of data, here we have used a specific approach of picking the data.
Hateminers-EVALITA
Code for replicating results of team 'hateminers' at EVALITA-2018 for AMI task