777 Open source projects that are alternatives of or similar to Big_transfer

TensorFlow ImageNet - Training and SOTA checkpoints

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Building a Neural Network that classifies faces using OpenCV and Tensorflow

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

Selective Classification For Deep Neural Networks.

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Genre Classification using Convolutional Neural Networks

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Pytorch code to generate adversarial examples on mnist and ImageNet data.

A photo OCR project aims to output DMS messages contained in sign structure images.

Transfer learning in Caffe: example on how to train CaffeNet on custom dataset

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)

Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

Efficient Learning of Augmentation Policy Schedules

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

Build an OCR for iOS apps

White Blood Cell Image Segmentation Using Deep Convolution Neural Networks

Comparison of famous convolutional neural network models

Learn how to use PyTorch to solve some common NLP problems with deep learning.

PyTorch reimplementation of Interactive Deep Colorization

Compare neural networks by their feature similarity

Binary Convolution Network for faster real-time processing in ASICs

No description or website provided.

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

Etiketai is an online tool designed to label images, useful for training AI models

Repository to identify Lego bricks automatically only using images

[CVPR2020] GhostNet: More Features from Cheap Operations

Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

Machine Reading Comprehension in Tensorflow

A sample Azure Machine Learning project for Transfer Learning-based custom image recognition by utilizing Keras.

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

Multiclass image classification using Convolutional Neural Network

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

Image Captioning: Implementing the Neural Image Caption Generator with python

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

Deep Convolutional Neural Networks for Musical Source Separation

Training Low-bits DNNs with Stochastic Quantization

High-efficiency floating-point neural network inference operators for mobile, server, and Web

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

No description or website provided.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

A Real-time Mario Kart AI using CNNs, Offline Search, and DAGGER

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

Medical image analysis framework merging ANTsR and deep learning

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Federated Learning Library: https://fedml.ai

AutoGluon: AutoML for Text, Image, and Tabular Data

A modern PyTorch implementation of SRGAN

Train the HRNet model on ImageNet