399 Open source projects that are alternatives of or similar to GLOM-TensorFlow

Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

Text Classification in Turkish Texts with Bert

Potato Disease Classification - Training, Rest APIs, and Frontend to test.

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

This project presents a simple framework to retrieve images similar to a query image.

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones

Graph convolution with tf.keras

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

ML Prediction of Bible Topics and Passages (Python / React)

A system to recognize whether signatures are forged or real.

15+ Machine/Deep Learning Projects in Ipython Notebooks

Must-read papers and resources related to causal inference and machine (deep) learning

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Using efficientnet to provide embeddings for retrieval

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

Predictive Coding for Locally-Linear Control (ICML-2020)

PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)

Русскоязычный чат-бот для Discord на архитектуре Transformer

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]

Keras MNIST for Handwriting Detection

An implementation of Faster R-CNN applied to vehicle detection.

TensorFlow2+ graph image augmentation library optimized for tf.data.Dataset.

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017

Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream

OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080

Self driving car in GTAV with Deep Learning

Translating English sentences to Marathi using Neural Machine Translation

Ἀνατομή is a PyTorch library to analyze representation of neural networks

Single Lead ECG signal Acquisition and Arrhythmia Classification using Deep Learning

Multi-Hop Logical Reasoning in Knowledge Graphs

Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Implementation of a Neural Network that can detect whether a video is in-game or not

TF2 implementation of PointNet for segmenting point clouds

Address book for computer vision models.

An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up processing, and attention (consensus between columns), for emergent part-whole heirarchies from data

Working golang + tensorflow

Position embedding layers in Keras

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

A tensorflow_2.0 implementation of SSD (Single Shot MultiBox Detector) .

Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset

2019北京大学软件与微电子学院曹健老师的《人工智能实践》作业，有完整的注释,欢迎提出issue以及request

Source for post "An Easy Guide to build new TensorFlow Datasets and Estimator with Keras Model"

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

A multi-thread implementation of node2vec random walk.

Mandrake 🌿/👨‍🔬🦆 – Fast visualisation of the population structure of pathogens using Stochastic Cluster Embedding

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

🐳 GAN implemented as Tensorflow 2.X

Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'

Kervolution implementation using TF2.0