Examples and guides for using the OpenAI API

A game theoretic approach to explain the output of any machine learning model.

A simple screen parsing tool towards pure vision based GUI agent

Neural Networks: Zero to Hero

Anthropic's educational courses

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

This repository contains implementations and illustrative code to accompany DeepMind publications

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Kubernetes community content

Public facing notes page

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …

Reference PyTorch implementation and models for DINOv3

Book about interpretable machine learning

felixge's notes on the various go profiling methods that are available.

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…

Easily compute clip embeddings and build a clip retrieval system with them

Logica is a logic programming language that compiles to SQL. It runs on DuckDB, Google BigQuery, PostgreSQL and SQLite.

cluster data collected from production clusters in Alibaba for cluster management research

Dual LSTM Encoder for Dialog Response Generation

Open-source implementation of Google Vizier for hyper parameters tuning

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode…

Example deep learning projects that use wandb's features.

An autonomous AI racecar using NVIDIA Jetson Nano

TensorFlow Tutorial for Time Series Prediction

Microsoft Azure Traces