tflearn
There are 181 repositories under tflearn topic.
tflearn/tflearn
Deep learning library featuring a higher-level API for TensorFlow.
atulapra/Emotion-detection
Real-time Facial Emotion Detection using deep learning
emilwallner/How-to-learn-Deep-Learning
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
wagamamaz/tensorflow-tutorial
TensorFlow and Deep Learning Tutorials
amineHorseman/facial-expression-recognition-using-cnn
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
wagamamaz/tensorlayer-tricks
How to use TensorLayer
tensorlayer/awesome-tensorlayer
A curated list of dedicated resources and applications
AhmetHamzaEmra/Intelegent_Lock
lock mechanism with face recognition and liveness detection
Gautam-J/Self-Driving-Car
Automated Driving in NFS using CNN.
acrosa/bot
Twitter Bot
arnaldog12/Deep-Learning
Study and implementation about deep learning models, architectures, applications and frameworks
flrngel/TagSpace-tensorflow
Tensorflow implementation of Facebook TagSpace
vishalshar/Audio-Classification-using-CNN-MLP
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.
emilwallner/Deep-Learning-101
The tools and syntax you need to code neural networks from day one.
Abhinav-26/AI-Chatbot
This is my Artificial Intelligence Project in which we build AI Contextual Chatbot
GeniSysAI/NLU
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.
thoppe/5baa61e4c9b93f3f0682250b6cf8331b7ee68fd8
RNN-LSTM that learns passwords from a starting list
vladbidyuk/Radar
Real time licence plate recognition system
Madhur215/Chatbot-cum-voice-Assistant
An AI chatbot with features like conversation through voice, fetching events from Google calendar, make notes, or searching a query on Google.
simranjeet97/ChatBot_Tensorflow_NLP
Artificial Intelligent ChatBot using Tensorflow and NLP that understand the Context and Intent of Human Language.
juan-csv/emotion_detection
Emotion detection using Keras and OpenCV with accuracy in validation 70% for dataset
markuspaschi/ShapeNetTools
Master thesis work on 3d object reconstruction from 2d images with graph convolution network (pixel2mesh adaption).
rhammell/mnist-draw
Draw and classify digits (0-9) in a browser using machine learning
narenmanoharan/ImageNet-Classifier-Tensorflow
Image recognition and classification using Convolutional Neural Networks with TensorFlow
shivam1808/AI-based-Virtual-Assistant
AI Based Virtual Assistant
OliverEdholm/Convolutional-Autoencoder
A convolutional autoencoder made in TFLearn.
akshaybhatia10/Deep-Learning-Mini-Projects
Repo for Deep Learning Projects in NLP, GANs, Computer Vision
imshubhamsingh/music-genre-classification-fma
Data pipeline and training pipeline for 🎵 music genre classification from FMA dataset
MaxLikesMath/DeepLearningImplementations
This is a repository of implementations of deep learning papers, along with mini projects and experiments.
arundasan91/DeXpression
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.
Claessens14/Machine-Learning-Baseball-Project
The program will output the home and away teams as well as their respective score predictions.
heanuea/Mnist-Digit-Reader-
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
Yonezcy/naive_nn
The three-flood neural network is implemented in three ways(Naive/Tensorflow/TFlearn).
AdnanZahid/SnakeGame
A neural networks based snake game
nkkumawat/Driver-Distraction-Detection
The system uses Convolutional Neural Network for extracting features in the training phase of the warning system.
SixQuant/captcha
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%）