Stars
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
A collection of 500+ real-world ML & LLM system design case studies from 100+ companies. Learn how top tech firms implement GenAI in production.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
You like pytorch? You like micrograd? You love tinygrad! ❤️
Curated list of data science interview questions and answers
Awesome List of Attention Modules and Plug&Play Modules in Computer Vision
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
A curated list of Generative Recommender Systems (Paper & Code)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）
🏅 Collection of Kaggle Solutions and Ideas 🏅
Video+code lecture on building nanoGPT from scratch
The simplest, fastest repository for training/finetuning medium-sized GPTs.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
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Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking (CTR/CVR prediction), Post Ranking, Relevance, LLM, Rei…
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
Contains Company Wise Questions sorted based on Frequency and all time
Gradient descent methods for Bayesian variational inference with mean field approximation.
A curated list of awesome places to learn and/or practice algorithms.
Adding the Intel MKL to a Debian / Ubuntu system via one simple script
Newton and Quasi-Newton optimization with PyTorch
Master programming by recreating your favorite technologies from scratch.
Resoruce to help you to prepare for your comming data science interviews