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This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
⛽️「算法通关手册」：从零开始的「算法与数据结构」学习教程，200 道「算法面试热门题目」，1000+ 道「LeetCode 题目解析」，持续更新中！
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
A high-throughput and memory-efficient inference and serving engine for LLMs
Free MLOps course from DataTalks.Club
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A curated list of awesome projects and papers for distributed training or inference
QLoRA: Efficient Finetuning of Quantized LLMs
[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
Interact with your documents using the power of GPT, 100% privately, no data leaks
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Source code for the X Recommendation Algorithm
An unnecessarily tiny implementation of GPT-2 in NumPy.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Python app to work with pictures and associated metadata from Apple Photos on macOS. Also includes a package to provide programmatic access to the Photos library, pictures, and metadata.
本系统是我的毕业设计项目，题目为“基于用户画像的电影推荐系统的设计与实现”。主要是以Django作为基础框架，采用MTV模式，数据库使用MongoDB、MySQL和Redis，以从豆瓣平台爬取的电影数据作为基础数据源，主要基于用户的基本信息和使用操作记录等行为信息来开发用户标签，并使用Hadoop、Spark大数据组件进行分析和处理的推荐系统。管理系统使用的是Django自带的管理系统，并使…
⚙ 本项目为SWPU数据库原理及应用大作业《西柚外卖订餐系统》，基于Python+Flask+MySQL开发，轻量简洁
VisionCamera Frame Processor Plugin to detect text in real time using MLKit Text Detector (OCR)
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
Blazing fast framework for fine-tuning similarity learning models