rishi1111's Stars
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
kdn251/interviews
Everything you need to know to get the job.
wagoodman/dive
A tool for exploring each layer in a docker image
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
spipm/Depix
Recovers passwords from pixelized screenshots
tmrts/go-patterns
Curated list of Go design patterns, recipes and idioms
GoogleContainerTools/kaniko
Build Container Images In Kubernetes
iterative/dvc
🦉 ML Experiments and Data Management with Git
systemdesign42/system-design
A resource to help you pass system design interview and become good at work 👇
kubeshark/kubeshark
The API traffic analyzer for Kubernetes providing real-time K8s protocol-level visibility, capturing and monitoring all traffic and payloads going in, out and across containers, pods, nodes and clusters. Inspired by Wireshark, purposely built for Kubernetes
oauth2-proxy/oauth2-proxy
A reverse proxy that provides authentication with Google, Azure, OpenID Connect and many more identity providers.
fission/fission
Fast and Simple Serverless Functions for Kubernetes
joerick/pyinstrument
🚴 Call stack profiler for Python. Shows you why your code is slow!
lux-org/lux
Automatically visualize your pandas dataframe via a single print! 📊 💡
lucidrains/deep-daze
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
kubernetes-sigs/controller-runtime
Repo for the controller-runtime subproject of kubebuilder (sig-apimachinery)
jupyter-lsp/jupyterlab-lsp
Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
facultyai/dash-bootstrap-components
Bootstrap components for Plotly Dash
Chanda-Abdul/Grokking-the-Coding-Interview-Patterns
This course categorizes coding interview problems into a set of 16 patterns. Each pattern will be a complete tool - consisting of data structures, algorithms, and analysis techniques - to solve a specific category of problems. The goal is to develop an understanding of the underlying pattern, so that, we can apply that pattern to solve other problems.
QuantStack/jupyterlab-drawio
A standalone embedding of the FOSS drawio / mxgraph package into jupyterlab
piraeusdatastore/piraeus
High Available Datastore for Kubernetes
webmeshproj/webmesh-vdi
A Kubernetes-native Virtual Desktop Infrastructure
kevin-powell/reponsive-web-design-bootcamp
Course files for the Responsive Web Design Bootcamp: [https://scrimba.com/course/gresponsive/]
lwolf/kubernetes-gitlab
Manifests to deploy GitLab on Kubernetes
ergoithz/browsepy
Simple web file browser using flask
jupytercalpoly/jupyterlab-code-snippets
Save, reuse, and share code snippets using JupyterLab Code Snippets!
StatCan/aaw
Documentation for the Advanced Analytics Workspace Platform
StatCan/aaw-kubeflow-containers
Containers built to be used with Kubeflow for Data Science
Paperspace/kube-fledged
A kubernetes add-on for creating and managing a cache of container images directly on the cluster worker nodes, so application pods start almost instantly
ratanboddu/FlaskGunicornSkeleton
Flask Gunicorn Skeleton