tensorflow
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Repositories (1194)
A simple face detect and alignment method, which is easy and stable.
通用深度学习推理工具，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。
Simple and flexible ML workflow engine
A Tensorflow implementation of FPN detection framework.
Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)
Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
Deep Reinforcement Learning Framework + Algorithms
State-of-the-art (ranked #1 Aug 2022) German Speech Recognition in 284 lines of C++. This is a 100% private 100% offline 100% free CLI tool.
Android Chinese TTS Engine Base On Tensorflow TTS , use for TfLite Models Test。安卓离线中文TTS引擎，在TensorflowTTS基础上开发，用于TfLite模型测试。
speech emotion recognition using a convolutional recurrent networks based on IEMOCAP
This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation u...
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Build environment and train a robot arm from scratch (Reinforcement Learning)
DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer archit...
Implementation of Meta-RL A3C algorithm
Sentence paraphrase generation at the sentence level
a toolkit for pose estimation using deep learning
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
SqueezeNet implementation with Keras Framework
MLOps for AWS SageMaker
Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm
[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案
FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider...
Visualize Tensorflow's optimizers.
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
About JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?use...
Some deep learning based recsys for open learning.
Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
TensorFlow 中文教程 (Chinese Tutorials)
TensorFlow implementation of original paper : https://github.com/hszhao/PSPNet
A Abstractive Summarization Implementation with Transformer and Pointer-generator
A car detection model implemented in Tensorflow.
Phoneme multilingual(Russian-English) voice cloning based on
CTR模型代码和学习笔记总结
🎆 A visualization of the CapsNet layers to better understand how it works
Accompanying repository for Let's make a DQN / A3C series.
tensorflow学习笔记，来源于电子书：《Tensorflow实战Google深度学习框架》
Sequence to sequence learning using TensorFlow.
Implementation of the ScreenAI model from the paper: "A Vision-Language Model for UI and Infographics Understanding"
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Reimplementation of CycleGAN
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in p...
Generic framework for historical document processing
Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet
⛔️ DEPRECATED - The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code...
A work in progress to build out solutions in Rust for MLOPs
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 a...