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adversarial_video_generation

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

age-gender-estimation

Keras implementation of a CNN network for age and gender estimation

ai-practice

AI practices

autobuffett

Bachelor Thesis Unversity of Osnabrück - A automated forex trading system based on machine learning and binary classification

comco-abstract-2019

convnext

Code release for ConvNeXt model

convnextobjectdetection

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dedublication

deep_learning_gan_project

Project for Advances in Deep Learning Class

deeperspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

detectron2derived

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

facedetection_benchmark

gaussiandiffusion

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

hearthstone-card-generator-ai-

An AI using TensorFlow designed to generate, and then evaluate them

how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

imagenet32_scripts

Scripts for Imagenet 32 dataset

imagenettraining

imagetexteraser

A little application that can be used to erase text from images

iminnaslib

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

latextemplate

Latex Template for AutoML-Conf

ld_experimental

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

magma_summit_setup

master_thesis

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

natureinspiredalgorithms

Homework for the NatureInspiredAlgorithms-Class