SumitVermakgp's Stars
nordquant/local-llm-crash-course
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
yanshengjia/ml-road
Machine Learning Resources, Practice and Research
colah/colah.github.io
rois-codh/kmnist
Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji
kubeflow/training-operator
Distributed ML Training and Fine-Tuning on Kubernetes
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
mlco2/codecarbon
Track emissions from Compute and recommend ways to reduce their impact on the environment.
ritchieng/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
interstellard/chatgpt-advanced
WebChatGPT: A browser extension that augments your ChatGPT prompts with web results.
MuhammedKalkan/OpenLens
OpenLens Binary Build Repository
fvaleye/tracarbon
🌍 Tracarbon tracks your device's energy consumption and calculates your carbon emissions using your location.
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
TheAlgorithms/JavaScript
Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
DopplerHQ/awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
sudheerj/reactjs-interview-questions
List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!
vasanthk/how-web-works
What happens behind the scenes when we type www.google.com in a browser?
trekhleb/javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
ohmyzsh/ohmyzsh
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
davified/clean-code-ml
:bathtub: Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
dblalock/bolt
10x faster matrix and vector operations
SumitVermakgp/feast-workshop
A workshop with several modules to help learn Feast, an open-source feature store
mlrun/demos
End to end MLRun demos