🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Models and examples built with TensorFlow

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

YAD2K: Yet Another Darknet 2 Keras

Implementation of EfficientNet model. Keras and TensorFlow Keras.

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

Residual networks implementation using Keras-1.0 functional API

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

first repository!

Deep Work Tracker is a productivity tool designed to help you track a state of peak concentration known as deep work. By incorporating deep work into your workflow, you can learn hard things and cr…