vishalsingh1080's Stars
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
practical-tutorials/project-based-learning
Curated list of project-based tutorials
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
sdmg15/Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
charlax/professional-programming
A collection of learning resources for curious software engineers
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
milanm/DevOps-Roadmap
DevOps Roadmap for 2024. with learning resources
AkashSingh3031/The-Complete-FAANG-Preparation
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
aishwaryanr/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
brexhq/prompt-engineering
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
rougier/matplotlib-tutorial
Matplotlib tutorial for beginner
tirthajyoti/Data-science-best-resources
Carefully curated resource links for data science in one place
rbhatia46/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
bigscience-workshop/promptsource
Toolkit for creating, sharing and using natural language prompts.
jayinai/data-science-question-answer
A repo for data science related questions and answers
SE-ML/awesome-seml
A curated list of articles that cover the software engineering best practices for building machine learning applications.
8080labs/ppscore
Predictive Power Score (PPS) in Python
FilippoBovo/production-data-science
Production Data Science: a workflow for collaborative data science aimed at production
sudharsan13296/Getting-Started-with-Google-BERT
Build and train state-of-the-art natural language processing models using BERT
trojrobert/MLOps_roadmap_and_curriculum
Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to solve real life problems
cM2908/leetcode-sql
Leetcode SQL Solutions
shanesoh/deploy-ml-fastapi-redis-docker
Deploy and scale machine learning models with FastAPI, Redis and Docker
riti2409/Git-GitHub
kmkarakaya/Deep-Learning-Tutorials
ML_tutorials
fzschornack/bi-lstm-crf-tensorflow
Bidirectional LSTM + CRF (Conditional Random Fields) in Tensorflow
Mohammad-juned-khan/WebCam-Face-Emotion-Detection-Streamlit
Real time face detection streamlit based bew application for server deployment.
vinamrgrover/ETL-DynamoDB-to-S3
Batch ETL Pipeline built on AWS
garganm1/Neural-Machine-Translation-with-Bahdanau-Attention
bestend/tf2-bi-lstm-crf-nni