A curated list to learn about distributed systems

Example code from Head First Design Patterns translated to python

LLM training in simple, raw C/CUDA

LLM Zoomcamp - a free online course about building a Q&A system

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

Leverages extensive power of multiple Machine Learning algorithms & LLM to provide in-depth answers to medical queries and predicts condition/diseases based on patient symptoms

🦜🔗 Build context-aware reasoning applications

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel t…

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Here are my template codes for Competitive Programming with optimised implementations of various algorithms. I personally use them every day and have tested almost all of them in multiple competiti…

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

Code samples for Back to Back SWE lessons (archive).

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Code and Data for paper: Beyond Views: Measuring and Predicting Engagement in Online Videos (ICWSM '18)

Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

A collection of solutions for all problem statements on the AlgoExpert Coding Interview platform.

Research code for ACL 2020 paper: "Distilling Knowledge Learned in BERT for Text Generation".

Competitive Programming & System Design Resources.

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Code implementations for the book Deep Learning for Coders with fastai and PyTorch

A curated list of awesome places to learn and/or practice algorithms.

A model based on RoBERTa base to classify the sentiment of a tweet as neutral, positive, or negative.

General Assembly's Data Science course in Washington, DC

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! W…

500 AI Machine learning Deep learning Computer vision NLP Projects with code

A collection of important graph embedding, classification and representation learning papers with implementations.

450- DSA Questions 🔥🔥