Retro Computer Personal Website with very simple UNIX shell implementation, files system implementation, markdown interrupter and renderer and text layout engine.

Fourth iteration of my personal website built with Gatsby

vCard is a fully responsive personal portfolio website, responsive for all devices.

This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Inference code for Llama models

A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.

Video Question Answering | Video QA | VQA

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

100 Days of ML Coding

Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.

Resources Related to Event-based Vision | Event Cameras | DVS

the AI-native open-source embedding database

My Personal Portfolio Website - V1

Learn how to design systems at scale and prepare for system design interviews

Snehal's personal portfolio

Collection of Summer 2025 tech internships!

Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances

Research project

The most impressive websites in the world use 3D graphics and animations to bring their content to life. Learn how to build your own ThreeJS 3D Developer Portfolio today!

Algorithms for Big Data.

450- DSA Questions 🔥🔥

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

Interview questions

Tensors and Dynamic neural networks in Python with strong GPU acceleration

List of Data Science Cheatsheets to rule the world

CSE 512 - Distributed and Parallel Database Systems