Discover AI Technologies

This index is your gateway to discovering AI technologies and related topics. On each technology page, you'll find tutorials, upcoming hackathons, frameworks, and boilerplates to help you get started.

YOLOv6

YOLOv6 is a single-stage object detection framework dedicated to industrial applications, with hardware-friendly efficient design and high performance.

BERT

BERT stands for Bidirectional Encoder Representations from Transformers. You can fine-tune it and get state-of-the-art results in a wide variety of natural language processing tasks

YOLOv5

YOLOv5 is family of object detections models pretrained on the COCO Dataset. It has been created by Ultralytics in 2020. This architecture contains 10 different models, each one with a different size and speed. YOLOv5 is also a part of the YOLO family of object detection models.

Stable Diffusion

Stable Diffusion is a latent text-to-image diffusion model capable of generating stylized and photo-realistic images. It is pre-trained on a subset of of the LAION-5B dataset and the model can be run at home on a consumer grade graphics card so everyone can create stunning art within seconds.

Whisper

Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

DALL-E-2

DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.

GPT3

GPT-3 stands for Generative Pre-trained Transformer 3 and it is an autoregressive language model that uses deep learning to produce human-like text. It is the third-generation language prediction model in the GPT-n series created by OpenAI. GPT-3 is currently in open beta.

YOLO

YOLO algorithm is a computer vision technique used for object detection in images. The algorithm was proposed by Joseph Redmon et al. in the paper 'You Only Look Once: Unified, Real-Time Object Detection' in 2016. The algorithm is based on the principle of 'divide and conquer'. It first divides the image into smaller regions and then predicts the class of the object in each region. The algorithm is also able to handle multiple objects in an image. The main advantage of the YOLO algorithm is its speed. It can process images in real-time, which is important for applications such as video surveillance. The algorithm has some limitations, however. It is not as accurate as some other object detection methods. Additionally, it is not able to handle very small objects. Despite its limitations, the YOLO algorithm is a powerful tool that can be used for a variety of applications.

GAN

GAN models contain two neural network models - a generator and a discriminator. They play together to be better in every epoch. One generates images, second verifies them.

EasyOCR

EasyOCR is Python package for Optical Character Recognition. It is a general OCR that can read both natural scene text and dense text in document. It supports more than 80 languages!

Cohere

One of the best AI labs in the world. By using the Cohere platform we are able to use one of the best and most powerful language models for our own! There are many tutorials, including our own one, that show how to use Cohere.

AWS SageMaker

AWS SageMaker is a fully managed machine learning service that enables developers to quickly and easily build, train, and deploy machine learning models at scale. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high-quality models.