neeraj2681's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
TheAlgorithms/Python
All Algorithms implemented in Python
rust-lang/rustlings
:crab: Small exercises to get you used to reading and writing Rust code!
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
abhishekkrthakur/approachingalmost
Approaching (Almost) Any Machine Learning Problem
jacobeisenstein/gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
togethercomputer/RedPajama-Data
The RedPajama-Data repository contains code for preparing large datasets for training large language models.
AnswerDotAI/gpu.cpp
A lightweight library for portable low-level GPU computation using WebGPU.
andrewekhalel/MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
karpathy/makemore
An autoregressive character-level language model for making more things
chiphuyen/dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
vaaaaanquish/Awesome-Rust-MachineLearning
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
linsomniac/spotify_to_ytmusic
Copy playlists and liked music from Spotify to YTMusic
systemdesignfightclub/SDFC
Roadmap and Resource Compilation for System Design Fight Club
hkproj/pytorch-transformer
Attention is all you need implementation
ExamProCo/aws-bootcamp-cruddur-2023
This is the starting codebase that will be used in the FREE AWS Cloud Project Bootcamp 2023
sahandha/eif
Extended Isolation Forest for Anomaly Detection
jeffheaton/app_deep_learning
T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
ShawhinT/YouTube-Blog
Codes to complement YouTube videos and blog posts on Medium.
nogibjj/mlops-template
mlops template
svpino/llm
A bunch of experiments using Large Language Models
Mixtape-Sessions/Advanced-DID
Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth
patrickloeber/docker-fastapi-ml
fiverrhellotinah/youtubeproject
pixegami/deploy-rag-to-aws
A sample project for deploying a RAG app to AWS
neeraj2681/Question_Answering_Model
A BERT based question answering model based on Wikipedia pages.
surajyadav91/document-qa-gpt