efficientnet-jax

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Google Brain AutoML

NanoDet-Plus?Super fast and lightweight anchor-free object detection model. ?Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone?

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS