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

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

KoCLIP: Korean port of OpenAI CLIP, in Flax

Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

A collection of deep learning models (PyTorch implemtation)

Chef Transformer 🍲 .

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

A list of popular deep learning models related to classification, segmentation and detection problems

Unofficial JAX implementations of deep learning research papers

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

Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.

JAX implementations of core Deep RL algorithms

Implementation of popular deep learning networks with TensorRT network definition API

Small-scale Tensor Processing Unit built on an FPGA

YOLOv4 Implemented in Tensorflow 2.

Managed Machine Learning Systems and Internet of Things Live Lesson

Graphsignal Python agent

PyTorch Implementation of the state-of-the-art model for object detection EfficientDet [pre-trained weights provided]

JAX-based Spiking Neural Network framework

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

Flax Engine – multi-platform 3D game engine

A GPT, made only of MLPs, in Jax

A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

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

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

Revisiting Rainbow

Collection of example projects for Flax Engine

MobilePose deployment for Raspberry Pi

Light-weight Single Person Pose Estimator

MobileNetV3 SSD的简洁版本

No description or website provided.

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

Using efficientnet to provide embeddings for retrieval

Research and specification for Big Brother protocol

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

A didactic Gaussian process package for researchers in Jax.

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

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

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

BERT Model Fine-tuning on Quora Questions Pairs

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

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

Fast and flexible AutoML with learning guarantees.

Computational Fluid Dynamics in JAX

基于tf.keras的多标签多分类模型

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

Berserker - BERt chineSE woRd toKenizER

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.

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

TF2 implementation of PointNet for segmenting point clouds

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

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

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