Artificially Advanced Intelligence

ai-engineering

Controlling AI models distribution and versioning with MLflow and Minio/S3.

DLinK

Deep Learning with Keras and TensorFlow

automated_ml

Infrastructure as Code: create AWS GPU powered instances to run ML models on Docker containers.

serverless-ai

This repository focus on applying engineering techniques to deploy serverless deep learning models.

workshop

clip-mania

Custom training with OpenAI CLIP; classification tasks; zero-shot examples; and a fully dockerised web-service.

python-design-patterns

Taking a very Object Oriented approach, let's look at some Design Patterns being implemented in Python 3.

scala_tutorial

Contains some code and documentation about how to get started with Scala

kaggle_toxicity

Models for Kaggle Toxicity Competition

keras-contrib

Keras community contributions

PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

CloserLookFewShot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization and keypoints

few-shot-object-detection

Implementations of few-shot object detection benchmarks

Fewshot_Detection

Few-shot Object Detection via Feature Reweighting

FewShotVision

Code for Master research internship report : https://arxiv.org/abs/1909.13579

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

IEMOCAP-Emotion-Detection

Multi-modal Emotion detection from IEMOCAP on Speech, Text, Motion-Capture Data using Neural Nets.

kaggle_mnist

This repository contains my models for the Kaggle MNIST Challenge.

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

MTCNN_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

spark_tutorial

Spark for Dummies [like me]

speech-emotion-recognition

Detecting emotions using MFCC features of human speech using Deep Learning

TensorFlow-LiveLessons

"Deep Learning with TensorFlow" LiveLessons

TensorFlow2.0-Examples

🙄 difficult algorithm, simple code.

unet-image-segmentation

up-detr

[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite