TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).
Fully convolutional deep neural network to remove transparent overlays from images
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
This codebase demonstrates how to synthesize realistic 3D character animations given an arbitrary speech signal and a static character mesh.
Library for Fast and Flexible Human Pose Estimation
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
DeepLab-ResNet rebuilt in TensorFlow
Photographic Image Synthesis with Cascaded Refinement Networks
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading...
A Framework for Encrypted Machine Learning in TensorFlow
Boosting your Web Services of Deep Learning Applications.
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
🧬 High-performance TensorFlow Lite library for React Native with GPU acceleration
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...
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
TensorFlow plugin for the Unreal Engine.
整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习...
: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...
Neural Network Compression Framework for enhanced OpenVINO™ inference
Videos, notes and experiments to understand deep learning
End-to-end neural table-text understanding models.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
One stop shop for running AI/ML on AWS.
An implementation of CycleGan using TensorFlow
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Scien...
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks....
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
TensorFlow 最佳学习资源大全(含课程、书籍、博客、公开课等内容)
Samples for Intel® oneAPI Toolkits
🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
🏖 Keras Implementation of Painting outside the box
Human Pose estimation with TensorFlow framework
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))
:factory: Collaboratively build, visualize, and design neural nets in browser
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
A lightweight header-only library for using Keras (TensorFlow) models in C++.
Implementation of triplet loss in TensorFlow
Samples and Tools for Windows ML.
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
Precompiled packages for AWS Lambda
learn code with tensorflow
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)