1089 Open source projects that are alternatives of or similar to Tensorflow

Share, discover & download files in your network 💥

ANNdotNET - deep learning tool on .NET Platform.

Tunable U-Net implementation in PyTorch

A distributed data processing framework in Haskell.

A modern, distributed monitoring system written in Go

Deepfakes Software For All

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

A paper list of object detection using deep learning.

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

(ICCV 2019) Uncertainty-aware Face Representation and Recognition

Video to Text: Generates description in natural language for given video (Video Captioning)

A Compositional Object-Based Approach to Learning Physical Dynamics

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Gaussian processes in TensorFlow

A sign language interpreter using live video feed from the camera.

A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

Implement of Openpose use Tensorflow

A collection of materials to help you learn about deep learning

Distributed web chat application base websocket built on akka.

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Udacity Self-Driving Car Engineer Nanodegree projects.

DLTK Model Zoo

机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有：机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战

Datasets, tools, and benchmarks for representation learning of code.

Ignareo the Carillon, a web spider template of ultimate concurrency built for leprechauns. Carillons as the best web spiders; Long live the golden years of leprechauns!

Official community-driven Azure Machine Learning examples, tested with GitHub Actions

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

aw_nas: A Modularized and Extensible NAS Framework

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

Top 200 deep learning Github repositories sorted by the number of stars.

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

This repo is a one stop destination to find resources for learning various domains. You can find the roadmap for any domain here.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Multi-style Generative Network for Real-time Transfer

Open-source implementation of Google Vizier for hyper parameters tuning

The code for the MaD TwinNet. Demo page:

A repository for ebooks， including C, C plus plus, Linux Kernel, Compiler, OS, Algorithm, Security, Database, Network, ML and DL

Perform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.

Distributed WebSocket broker

Functional programming inspired by ML for the Erlang VM

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

PyTorch tutorial for learners

Tools for PyTorch

🍃 Using a Neural Network to improve web accessibility in JavaScript.

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

Repository for different network models related to flow/disparity (ECCV 18)

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

Training and inference code for ExpandNet

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

A PyTorch implementation of OpenAI's REPTILE algorithm

Programmable Neural Network Compression

DepthAI Python API utilities, examples, and tutorials.