janhavilande
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The Score Specification provides a developer-centric and platform-agnostic Workload specification to improve developer productivity and experience. It eliminates configuration inconsistencies betwe…
How to build RNNs and LSTMs from scratch with NumPy.
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020
Context menu for Cytoscape.js
This repository is to prepare for Machine Learning interviews.
Papers discussed in the meetings of IITG.ai with summaries and resources.
Local Interface for Agents Assembly
Simulation Run Environment for Agents Assembly
Curated list of data science interview questions and answers
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
Develop TensorFlow/Spark/Flink/Hive/Kafka jobs and notebooks on Hops
Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model
Example of how to structure Feast feature repositories & CI for production
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Feast demo repository including use of on demand feature views and stream ingestion
Humanoid robot expression using deep sentiment analysis
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
💯 Curated coding interview preparation materials for busy software engineers
Interactive network visualization in Python and Dash, powered by Cytoscape.js
C4GT has been conceptualised as a summer coding program to create a community that can build and contribute to global digital public goods.