A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Apache Spark - A unified analytics engine for large-scale data processing

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

A library of extension and helper modules for Python's data analysis and machine learning libraries.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…

Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.

2nd Place Solution of the Kaggle Competition - Santander Product Recommendation

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

Zero-shot image tagging by hierarchical semantic embedding

The Open Images dataset

Deep Learning for humans

Generative Adversarial Text-to-Image Synthesis

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras

Keras code and weights files for popular deep learning models.

Benchmarks for popular CNN models

Lightweight library to build and train neural networks in Theano

Automatically exported from code.google.com/p/cuda-convnet2

Theano-based Alexnet

A lightweight & cross-platform IDE supporting the most recent C++ standards. This project has moved to https://gitlab.com/cppit/jucipp.