145 Open source projects that are alternatives of or similar to efficientnet-jax

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

Light-weight Single Person Pose Estimator

BERT Model Fine-tuning on Quora Questions Pairs

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Bayesian Optimization in JAX

MobilePose deployment for Raspberry Pi

A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations

Light-weight Single Person Pose Estimator

👩 Pytorch and Jax code for the Madam optimiser.

MobileNetV3 SSD的简洁版本

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

No description or website provided.

Factor graphs and nonlinear optimization for JAX

QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.

适用于移动端的人脸识别模型，计算量与mobilefacenet相同，但megaface上提升了2%+

Flax Engine – multi-platform 3D game engine

Try to implement deeplab v3+ on pytorch according to offical demo.

RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

A Keras implementation of MobileNetV2.

基于深度学习图片鉴黄 Caffe implementation of Not Suitable for Work (NSFW)

A collection of optimizers, some arcane others well known, for Flax.

Revisiting Rainbow

A didactic Gaussian process package for researchers in Jax.

A real-time face mask detector based on computer vision and deep learning, created using Pytorch and OpenCV

Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.

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

Image Forgery Detection using Deep Learning, implemented in PyTorch.

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

Using efficientnet to provide embeddings for retrieval

Benchmark for DeepLearning anomaly detection

Repository for "Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation".

Research and specification for Big Brother protocol

Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)

ADAM implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.

Flax is a neural network library for JAX that is designed for flexibility.

High level network definitions with pre-trained weights in TensorFlow

Fast and flexible AutoML with learning guarantees.

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Computational Fluid Dynamics in JAX

🔥Improve yolo with latest paper

Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion

基于tf.keras的多标签多分类模型

Real-time portrait segmentation for mobile devices

Berserker - BERt chineSE woRd toKenizER

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.

yolov3 with mobilenetv2 and efficientnet

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

TF2 implementation of PointNet for segmenting point clouds

Trax — Deep Learning with Clear Code and Speed

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives (Deep RL Workshop 2021)

TPU ile Yapay Sinir Ağlarınızı Çok Daha Hızlı Eğitin

PyTorch implementation of EfficientNetV2 family

73.6% GhostNet 1.0x pre-trained model on ImageNet

Edge TPU Accelerator / Multi-TPU / Multi-Model + Posenet/DeeplabV3/MobileNet-SSD + Python + Sync / Async + LaptopPC / RaspberryPi