SreedevSB's Stars
bregman-arie/devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
AppFlowy-IO/AppFlowy
Bring projects, wikis, and teams together with AI. AppFlowy is an AI collaborative workspace where you achieve more without losing control of your data. The best open source alternative to Notion.
Igglybuff/awesome-piracy
A curated list of awesome warez and piracy links
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
RunaCapital/awesome-oss-alternatives
Awesome list of open-source startup alternatives to well-known SaaS products 🚀
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
InterviewReady/system-design-resources
These are the best resources for System Design on the Internet
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
uber/h3
Hexagonal hierarchical geospatial indexing system
khuyentran1401/Data-science
Collection of useful data science topics along with articles, videos, and code
nlp-with-transformers/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
rafgraph/spa-github-pages
Host single page apps with GitHub Pages
thunlp/PLMpapers
Must-read Papers on pre-trained language models.
eugeneyan/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
AakashKumarNain/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
ashishpatel26/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
AstraZeneca/awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
AlexIoannides/pyspark-example-project
Implementing best practices for PySpark ETL jobs and applications.
seek-oss/braid-design-system
Themeable design system for the SEEK Group
abhishek-ch/around-dataengineering
A Data Engineering & Machine Learning Knowledge Hub
dair-ai/GNNs-Recipe
🟠 A study guide to learn about Graph Neural Networks (GNNs)
devkodeio/frontend-system-design
Frontend System Design Guide
databricks/devrel
This repository contains the notebooks and presentations we use for our Databricks Tech Talks
devpavan04/cryptoboys-nft-marketplace
An NFT marketplace where users can mint ERC721 implemented Crypto Boy NFTs 🖼️
Nyandwi/ModernConvNets
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
AmeerAbdul7/Data-Science-Notes
Python-SQL-Machine Learning
anjalysam/Hadoop
This contain how to install Hadoop on google colab and how to run map-reduce in Hadoop
shibinbshaji/iStorageEnum