Ludwig

An open-source deep learning platform by Uber that helps users easily train, test, and deploy models.

Amazon Rekognition Video

Amazon Rekognition Video is a fully managed deep learning-based video analysis service that can identify objects, people, text, scenes, and activities, as well as detect any inappropriate content.

IBM Speech To Text

IBM's Speech to Text service uses advanced deep learning neural network algorithms to convert audio and voice into written text.

Wolfram Mathematica

Wolfram Mathematica is a mathematical computation software package developed by Wolfram Research. It provides a powerful set of tools for AI, Machine Learning, and Deep Learning development.

Go AI

A deep learning version of the ancient Chinese game "Go".

Connect Four AI

A deep learning version of the classic Connect Four game.

Deepspeech

High Performance Deep Learning Speech Recognition Platform

TensorFlow Agents

TensorFlow Agents is a library for reinforcement learning with deep neural networks in TensorFlow.

2048 AI

A deep learning version of the classic 2048 game.

Maximo AI

AI-powered tool for machine learning, natural language processing, and computer vision.

IBM Power AI

High-performance AI services built on IBM's POWER8 technology.

PaintsChainer

Create amazing art with AI-powered technology.

Neura.ai

Neura helps you deliver mobile user experiences that run on AI and deep learning.

Abbyy Visual Recognition

Abbyy Visual Recognition is a deep learning based image recognition technology that can recognize images, object classes and whole objects in images.

CNTK

The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for deep learning.

SSD

SSD (Single Shot MultiBox Detector) is a deep learning object detection framework.

RetinaNet

RetinaNet is a single stage object detector.

Faster R-CNN

Faster R-CNN is a deep learning object detection framework that can detect more than one object in an image.

Deformable Convolutional Network (DCN)

DCN is a deep learning object detection model that consists of multiple deformable convolution layers.

ULMFiT

ULMFiT stands for Universal Language Model Fine-tuning and is a deep learning technique that can be used to fine-tune any language model for downstream tasks.