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深度学习入门教程, 优秀文章, Deep Learning Tutorial
Code for Tensorflow Machine Learning Cookbook
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。
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Tensorflow tutorial from basic to hard
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
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
Text Classification Cnn Rnn
Simple and comprehensive tutorials in TensorFlow
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Handwriting Synthesis with RNNs ✏️
Char Rnn Tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
Tensorflow Without A Phd
A crash course in six episodes for software developers who want to become machine learning practitioners.
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Datasets, tools, and benchmarks for representation learning of code.
Deep Learning Time Series
List of papers, code and experiments using deep learning for time series forecasting
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
Demo of running NNs across different frameworks
Top Deep Learning
Top 200 deep learning Github repositories sorted by the number of stars.
Kaggle Web Traffic
1st place solution
Machine Learning Experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Word Rnn Tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
Machine Learning Curriculum
💻 Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
Tensorflow Tutorials For Time Series
TensorFlow Tutorial for Time Series Prediction
Seq2seq Signal Prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Char Rnn Tensorflow
Multi-language Char RNN for TensorFlow >= 1.2.
Lstm Sentiment Analysis
Sentiment Analysis with LSTMs in Tensorflow
Chatbot in 200 lines of code using TensorLayer
Bolt is a deep learning library with high performance and heterogeneous flexibility.
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
TensorFlow and Deep Learning Tutorials
Tf Rnn Attention
Tensorflow implementation of attention mechanism for text classification tasks.
Inference Code for Polygon-RNN++ (CVPR 2018)
The official repository of the Eesen project
Time Series Prediction
Time series deep learning models in TensorFlow-TFTS
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
Cs224n Learning Camp
CRF-RNN Keras/Tensorflow version
WTTE-RNN a framework for churn and time to event prediction
Tensorflow Vae Gan Draw
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Multi Class Text Classification Cnn Rnn
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
Named Entity Recognition using multilayered bidirectional LSTM
A collection of deep learning tutorials using Tensorflow and Python
Tensorflow Rnn Shakespeare
Code from the "Tensorflow and deep learning - without a PhD, Part 2" session on Recurrent Neural Networks.
TensorFlow implementation of Independently Recurrent Neural Networks
Dynamic Tensorflow Tutorial
Tensorflow tutorial of building different dynamic recurrent neural network
Tensorflow Eager Tutorials
Simple tutorials for building neural networks with TensorFlow Eager mode.
Practical Examples for RNNs in Tensorflow
Pixel Rnn Tensorflow
Closed-form Continuous-time Neural Networks
A curated list of Best Artificial Intelligence Resources
Text Classification Models Tf
Tensorflow implementations of Text Classification Models.
A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
Trending Deep Learning
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
Keras Layer implementation of Attention for Sequential models
Tensorflow Char Rnn
Char-RNN implemented using TensorFlow.
Rnn From Scratch
Implementing Recurrent Neural Network from Scratch
Text Classification Library in Keras
RMDL: Random Multimodel Deep Learning for Classification
Stock price prediction with LSTMs in TensorFlow
Tensorflow Convlstm Cell
A ConvLSTM cell with layer normalization and peepholes for TensorFlow's RNN API.
Oreilly Learning Tensorflow
Neural Symbolic Machines
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
The RWTH extensible training framework for universal recurrent neural networks
A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks
Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture
Neural Architecture Search
Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).
Multiple implementations for abstractive text summurization , using google colab
Code of Directional Self-Attention Network (DiSAN)
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
Har Stacked Residual Bidir Lstms
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
Haste: a fast, simple, and open RNN library
Recurrent Entity Networks
TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Rnn For Joint Nlu
Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
A deep learning library to provide algs in pure Numpy or Tensorflow.
Natural Language Processing With Tensorflow
Natural Language Processing with TensorFlow, published by Packt
Tensorflow Ml Nlp Tf2
텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료
Experiment diverse Deep learning models for music generation with TensorFlow
Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
Deep-Learning Model Exploration and Development for NLP
Nested LSTM Cell
Hands On Deep Learning Algorithms With Python
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
Variational Recurrent Autoencoder Tensorflow
A tensorflow implementation of "Generating Sentences from a Continuous Space"
Time Series Machine Learning
Machine learning models for time series analysis
Jupyter notebooks to help you started with tensorflow 2.0
World Models with TensorFlow 2
HDLTex: Hierarchical Deep Learning for Text Classification
A curated list of dedicated resources and applications
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Speech Emotion Recognition
speech emotion recognition using a convolutional recurrent networks based on IEMOCAP
Chinese Poetry Generation
An RNN-based Chinese Poem Generator
Python Tensorflow (13,736)
Jupyter Notebook Tensorflow (4,771)
Deep Learning Tensorflow (4,441)
Machine Learning Tensorflow (3,784)
Tensorflow Keras (3,638)
Python Recurrent Neural Networks (2,416)
Tensorflow Convolutional Neural Networks (2,306)
Tensorflow Neural Network (2,134)
Tensorflow Neural (1,635)
Tensorflow Dataset (1,583)
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