kool7

next-learn

Learn Next.js Starter Code

modular-monolith-with-ddd

Full Modular Monolith application with Domain-Driven Design approach.

Hands-On-Design-Patterns-with-C-and-.NET-Core

Hands-On Design Patterns with C# and .NET Core, published by Packt

ionic-super-tabs

Swipeable Tabs for Ionic

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

angularfire

Angular + Firebase = ❤️

mathsforml.github.io

Learn all the maths for ml simply.

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

mlops-course

Learn how to design, develop, deploy and iterate on production-grade ML applications.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

librosa

Python library for audio and music analysis

awesome-data-augmentation

This is a list of awesome methods about data augmentation.

CLR

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

AugMix_TF2

TF2.0 port for Augmix paper

AugMix_TF2

TF2.0 port for Augmix paper

annotated_research_papers

This repo contains annotated research papers that I found really good and useful

deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.

xla

Enabling PyTorch on XLA Devices (e.g. Google TPU)

COVIDNet-CT

COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT

l5kit

L5Kit - https://woven.toyota

ml_dev_env

Machine Learning / Deep Learning Environment. Everywhere. Anywhere.

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

Sequence-Models

Programming assignments of "Sequence Models" course by Andrew Ng.

SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

torchxrayvision

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

covid-severity

Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning