leonardo-iheme Goto Github PK

adresgezgini_interns

Interns working at AdresGezgini will submit their programming assignments here

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-public-datasets

A topic-centric list of HQ open datasets in public domains. PR ☛☛☛

bmsg-gan

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

coursera

courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

cs231n.github.io

Public facing notes page

cv-pretrained-model

A collection of computer vision pre-trained models.

cyclegan

PyTorch implementation of CycleGAN

data-version-control

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

gans-with-pytorch

Various implementations of Generative adversarial networks using Pytorch

generate_mcq_bert_wordnet_conceptnet

Generate Multiple choice Questions from any content or news article using BERT Extractive Summarization, Wordnet and Conceptnet

ibm_data_science_capstone

This repository contains the files that are associated with my IBM data science specialization project

jupyter

Jupyter metapackage for installation, docs and chat

kapre

kapre: Keras Audio Preprocessors

leonardo-iheme.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

lightning-pose

Accelerated pose estimation and tracking using semi-supervised convolutional networks.

llm-twin-course

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

machine-learning-links-and-lessons-learned

List of all the lessons learned, best practices, and links from my time studying machine learning

machinelearningtraining

Notebooks for Fun ML by Gant

medical-datasets

tracking medical datasets, with a focus on medical imaging

miscnn

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

pix2pix

PyTorch implementation of Image-to-Image Translation with Conditional Adversarial Nets (pix2pix)

pyaudioanalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.