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Red Hat Inc.
- Boston
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00:35
(UTC -04:00) - https://harshad16.github.io
Stars
Kubeflow Notebooks lets you run web-based development environments on your Kubernetes cluster by running them inside Pods.
😎 Awesome lists about all kinds of interesting topics
The CNCF sandbox for observability visualisation. Already supports Prometheus/Tempo - more data sources to come!
📖 Collection of naming guides for writing more consistent and readable codes
Master programming by recreating your favorite technologies from scratch.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
A collection listing all Achievements available on the GitHub profile 🏆
Thoth adviser pre-commit hooks.
Declarative GitHub Organization management via Peribolos as a service
The recommendation engine for Python software stacks and Dependency Monkey in project Thoth.
⚕️💊 Prescriptions to heal your applications and application dependencies 💊⚕️
Coding articles to level up your development skills
A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP…
Visualize Python package metadata and browse advisory results.
Multi-label prediction for GitHub issues with state of the art NLP models and state of the art performance. 😎
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
CentOS 7.2.1511 with OpenSSL 1.1, Python 3.7.0 and essential development tools
A python wrapper for the prometheus http api
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social …
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
Client and Server implementation for DEBS 2019 Grand Challenge
A Python framework to write Kubernetes operators in just few lines of code.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)