Awesome Open Source
Search results for tensorflow neural network
1,741 search results found
An Open Source Machine Learning Framework for Everyone
Deep Learning for humans
Data Science Ipython Notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Visualizer for neural network, deep learning, and machine learning models
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Open standard for machine learning interoperability
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Fast Style Transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
TensorFlow-based neural network library
Deep learning library featuring a higher-level API for TensorFlow.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Mit Deep Learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TensorFlow tutorials and best practices.
TensorFlow Tutorials with YouTube Videos
The next-generation platform to monitor and optimize your AI costs in one place 🚀
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Code for Tensorflow Machine Learning Cookbook
A flexible, high-performance serving system for machine learning models
Tensorflow 2.x Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Deep Reinforcement Learning for Keras.
A general-purpose encoder-decoder framework for Tensorflow
Cnn Text Classification Tf
Convolutional Neural Network for Text Classification in Tensorflow
Build Graph Nets in Tensorflow
Run Keras models in the browser, with GPU support using WebGL
🌎 Simple and ready-to-use tutorials for TensorFlow
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
PipelineAI Kubeflow Distribution
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Learning To Learn
Learning to Learn in TensorFlow
Probabilistic reasoning and statistical analysis in TensorFlow
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Tensorflow tutorial from basic to hard
Tensorflow Project Template
A best practice for tensorflow project template architecture.
Artificial Intelligence Deep Learning Machine Learning Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Image Super Resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
An Engine-Agnostic Deep Learning Framework in Java
Alpha Zero General
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Deep Learning Model Convertor
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Lstm Human Activity Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Simple and comprehensive tutorials in TensorFlow
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Neural network visualization toolkit for keras
YoloV3 Implemented in Tensorflow 2.0
Sandbox for training deep learning networks
Graph Neural Networks with Keras and Tensorflow 2.
Tensorflow Without A Phd
A crash course in six episodes for software developers who want to become machine learning practitioners.
Deep Learning For Recommendation Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Tensorflow Speech Recognition
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following cat
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Datasets, tools, and benchmarks for representation learning of code.
A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
A library for scientific machine learning and physics-informed learning
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Keras community contributions
Generic U-Net Tensorflow implementation for image segmentation
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
nGraph - open source C++ library, compiler and runtime for Deep Learning
Deep Learning Toolkit for Medical Image Analysis
Word Rnn Tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
Image Quality Assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Pretty Tensor: Fluent Networks in TensorFlow
High-quality implementations of standard and SOTA methods on a variety of tasks.
Library for Fast and Flexible Human Pose Estimation
Machine Learning Specialization Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
A benchmark framework for Tensorflow
One Pixel Attack Keras
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
🏭 Collaboratively build, visualize, and design neural nets in browser
Machine Learning Curriculum
💻 Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
Seq2seq Signal Prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Tools To Design Or Visualize Architecture Of Neural Network
Tools to Design or Visualize Architecture of Neural Network
Cv Pretrained Model
A collection of computer vision pre-trained models.
Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn
Tensorflow Programs And Tutorials
Implementations of CNNs, RNNs, GANs, etc
Neural Structured Learning
Training neural models with structured signals.
Deep Learning In Production
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Code for the Lovász-Softmax loss (CVPR 2018)
Bmw Tensorflow Training Gui
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.
TensorFlow 101: Introduction to Deep Learning
Windows Machine Learning
Samples and Tools for Windows ML.
Python Tensorflow (13,736)
Python Neural Network (7,064)
Jupyter Notebook Tensorflow (4,771)
Deep Learning Tensorflow (4,441)
Ml Tensorflow (3,784)
Deep Learning Neural Network (3,760)
Ml Neural Network (3,751)
Jupyter Notebook Neural Network (3,677)
Tensorflow Keras (3,638)
Machine Learning Neural Network (3,255)
1-100 of 1,741 search results
Follow Us On Twitter
Copyright 2018-2023 Awesome Open Source. All rights reserved.