tensorflow

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

Machine Learning inference engine for Microcontrollers and Embedded devices

yolo(all versions) implementation in keras and tensorflow 2.x

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

TensorFlow android demo 车道线 车辆 人脸 动作 骨架 识别 检测 抽烟 打电话 闭眼 睁眼

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.

Kubernetes-native Deep Learning Framework

Tensorflow implementation of attention mechanism for text classification tasks.

A deep learning model for style-specific music generation.

Euro Truck Simulator 2 autonomous driving solution

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO)...

Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

Lightweight & fast OCR models for license plate text recognition.

Python library to easily log experiments and parallelize hyperparameter search for neural networks

NeuPy is a Tensorflow based python library for prototyping and building neural networks

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

Implementation of papers for text classification task on DBpedia

An Open-Source Library for Training Binarized Neural Networks

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and...

Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Cente...

Inference Code for Polygon-RNN++ (CVPR 2018)

TensorFlow and Deep Learning Tutorials

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

Real-Time Semantic Segmentation in Mobile device

Revisiting Pre-trained Models for Chinese Natural Language Processing (MacBERT)

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

JavaScript的学习代码总结，高级特性、数据结构、设计模式、typescript、vue、angular、react、node、webpack、weex、小程序、tensorflow…，JavaScript是世界上...

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning bas...

A simple probabilistic programming language.

Food Classification with Deep Learning in Keras / Tensorflow

Facebook chatbot that I trained to talk like me using Seq2Seq

A curated list of resources focused on Machine Learning in Geospatial Data Science.

A zero-dependency ML framework in C with a modern Python API for full control over execution and memory.

TonY is a framework to natively run deep learning frameworks on Apache Hadoop.

The BiLSTM-CRF model implementation in Tensorflow, for sequence labeling tasks.

Insight Face on TensorFlow

A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine lear...

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code

Export Hugging Face models to Core ML and TensorFlow Lite

Multi-object trackers in Python

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

由淺入深的深度學習資源 Collection of deep learning materials for everyone

Deep Learning on Flink aims to integrate Flink and deep learning frameworks (e.g. TensorFlow, PyTorch, etc) to enable distributed deep learning traini...

TensorFlow models accelerated with NVIDIA TensorRT

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Real-time object detection on Android using the YOLO network with TensorFlow