#
tflearn
Here are 153 public repositories matching this topic...
TensorFlow and Deep Learning Tutorials
nlp
machine-learning
reinforcement-learning
deep-learning
neural-network
notebook
tensorflow
keras
deep-reinforcement-learning
cnn
recurrent-neural-networks
neural-networks
autoencoder
tensorflow-tutorials
convolutional-neural-networks
neural-machine-translation
tflearn
tensorlayer
multi-layer-perceptron
deep-learning-tutorial
-
Updated
Feb 26, 2018
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
-
Updated
Jun 6, 2020
How to use TensorLayer
nlp
data-science
machine-learning
natural-language-processing
lasagne
reinforcement-learning
computer-vision
deep-learning
neural-network
tensorflow
keras
neural-networks
tensorboard
tensorflow-tutorials
tensorflow-experiments
tensorflow-framework
tflearn
tensorflow-library
tensorlayer
tensorflow-models
-
Updated
Sep 17, 2018
Real-time Facial Emotion Detection using deep learning
opencv
computer-vision
deep-learning
tflearn
opencv-python
haar-cascade
emotion-detection
emotion-recognition
-
Updated
May 1, 2020 - Python
A curated list of dedicated resources and applications
natural-language-processing
database
reinforcement-learning
computer-vision
tensorflow
keras
recurrent-neural-networks
generative-adversarial-network
mnist
autoencoder
segmentation
tensorflow-tutorials
convolutional-neural-networks
tflearn
tensorlayer
lstm-neural-networks
adversarial-learning
cifar-10
tf-slim
horovod
-
Updated
Jan 15, 2020
okbalefthanded
commented
Sep 5, 2018
A good feature to automate the benchmarking is to add a module for automatic dataset download.
lock mechanism with face recognition and liveness detection
opencv
deep-learning
tensorflow
keras
python3
face-recognition
convolutional-neural-networks
tflearn
cv2
keras-tensorflow
3d-convolutional-network
liveness-detection
cool-stuff
conv3d
-
Updated
Jan 31, 2019 - Python
The tools and syntax you need to code neural networks from day one.
-
Updated
Sep 25, 2017 - Jupyter Notebook
Study and implementation about deep learning models, architectures, applications and frameworks
-
Updated
Jun 14, 2020 - Jupyter Notebook
The GeniSys NLU Engine includes a combination of a custom trained DNN (Deep Learning Neural Network) built using TFLearn for intent classification, and a custom trained MITIE model for entity classification.
iot
ai
genisys
tensorflow
nlu
ntlk
artificial-intelligence
mitie
internet-of-things
artificial-neural-networks
tflearn
iotjumpway
nlu-engine
-
Updated
Oct 7, 2018 - Python
RNN-LSTM that learns passwords from a starting list
-
Updated
Apr 13, 2017 - HTML
A convolutional autoencoder made in TFLearn.
-
Updated
Jun 4, 2018 - Python
Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.
audio
classifier
cnn
audio-analysis
dataset
cricket
convolutional-layers
noise
convolutional-neural-networks
mlp
tflearn
audio-classification
audio-processing
multilayer-perceptron-network
-
Updated
Jan 19, 2020 - Python
Draw and classify digits (0-9) in a browser using machine learning
-
Updated
Oct 1, 2017 - Python
Real time licence plate recognition system
-
Updated
Apr 7, 2018 - Python
This is a repository of implementations of deep learning papers, along with mini projects and experiments.
-
Updated
Jan 9, 2019 - Python
Image recognition and classification using Convolutional Neural Networks with TensorFlow
-
Updated
Apr 30, 2017 - Python
Repo for Deep Learning Projects in NLP, GANs, Computer Vision
-
Updated
May 6, 2018 - Jupyter Notebook
TFLearn Implementation of DeXpression architecture. Batch normalization is used instead of LRN. Gives a precision of 99.3 percent, recall of 99.2 percent and f1-score of 99.2 percent on CKPlus Dataset for human emotion recognition from frontal facial images.
-
Updated
Nov 30, 2017 - Python
A neural networks based snake game
-
Updated
Feb 2, 2018 - Python
The three-flood neural network is implemented in three ways(Naive/Tensorflow/TFlearn).
-
Updated
May 1, 2018 - Python
Comparison of TensorFlow Wrappers
-
Updated
Apr 22, 2017 - Python
A lstm-char-rnn generator (neural network) made in TFLearn generating quotes.
-
Updated
Jan 4, 2017 - Python
Dockerfile for machine learning environment(scikit-learn, chainer, gensim, tensorflow, jupyter)
-
Updated
Aug 16, 2018 - Jupyter Notebook
A Web Application Built with Flask and Python that reads images containing numbers with the Help of Tensor-flow should recognize each digit from 0 to 9
bootstrap
jquery
flask
base64
fabric
tensorflow
numpy
fabricjs
ajax
pil
json-parser
mnist-dataset
tensor
flask-web
tflearn
mnist-image-dataset
numpy-arrays
-
Updated
Dec 4, 2017 - HTML
Data pipeline and training pipeline for 🎵 music genre classification from FMA dataset
music
deep-learning
cnn
music-information-retrieval
classification
tensorboard
fma
tflearn
music-genre-classification
fma-dataset
genre-classification
-
Updated
Mar 30, 2020 - Jupyter Notebook
Recognize captcha using deep learning ResNet model and TFLearn(1000个训练数据,经过短短几分钟的训练,正确率可以达到 99%)
-
Updated
Jan 17, 2019 - Jupyter Notebook
Improve this page
Add a description, image, and links to the tflearn topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the tflearn topic, visit your repo's landing page and select "manage topics."
load_csv line can be since there's
columns_to_ignoreparam's supportedand we don't need to do that in preprocess()