tensorflow
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Repositories (1176)
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
A curated list of Best Artificial Intelligence Resources
Photographic Image Synthesis with Cascaded Refinement Networks
Boosting your Web Services of Deep Learning Applications.
A Framework for Encrypted Machine Learning in TensorFlow
Convolutional neural network for analyzing pentest screenshots
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
A curated list of awesome links and software libraries that are useful for robots.
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。S...
AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which...
This codebase demonstrates how to synthesize realistic 3D character animations given an arbitrary speech signal and a static character mesh.
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app us...
TensorFlow plugin for the Unreal Engine.
An implementation of CycleGan using TensorFlow
End-to-end neural table-text understanding models.
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.
TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）
🏖 Keras Implementation of Painting outside the box
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading...
:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
Videos, notes and experiments to understand deep learning
Human Pose estimation with TensorFlow framework
:factory: Collaboratively build, visualize, and design neural nets in browser
Implementation of triplet loss in TensorFlow
Precompiled packages for AWS Lambda
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
learn code with tensorflow
A lightweight header-only library for using Keras (TensorFlow) models in C++.
🔎 Search the information available on a webpage using natural language instead of an exact string match.
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Scien...
An Implementation of Fully Convolutional Networks in Tensorflow.
TensorFlow 101: Introduction to Deep Learning
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
Samples and Tools for Windows ML.
Machine learning algorithms implemented by pure numpy
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine...
基于树莓派的自动驾驶小车，利用树莓派和tensorflow实现小车在赛道的自动驾驶。（Self-driving car based on raspberry pi（tensorflow））
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Neural Network Compression Framework for enhanced OpenVINO™ inference
Samples for Intel® oneAPI Toolkits