There are 3 repositories under tflearn topic.
Real-time Facial Emotion Detection using deep learning
TensorFlow and Deep Learning Tutorials
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
How to use TensorLayer
A curated list of dedicated resources and applications
lock mechanism with face recognition and liveness detection
Automated Driving in NFS using CNN.
Study and implementation about deep learning models, architectures, applications and frameworks
Tensorflow implementation of Facebook TagSpace
The tools and syntax you need to code neural networks from day one.
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.
This is my Artificial Intelligence Project in which we build AI Contextual Chatbot
RNN-LSTM that learns passwords from a starting list
Real time licence plate recognition system
An AI chatbot with features like conversation through voice, fetching events from Google calendar, make notes, or searching a query on Google.
Artificial Intelligent ChatBot using Tensorflow and NLP that understand the Context and Intent of Human Language.
Emotion detection using Keras and OpenCV with accuracy in validation 70% for dataset
Master thesis work on 3d object reconstruction from 2d images with graph convolution network (pixel2mesh adaption).
Draw and classify digits (0-9) in a browser using machine learning
Image recognition and classification using Convolutional Neural Networks with TensorFlow
A convolutional autoencoder made in TFLearn.
Data pipeline and training pipeline for 🎵 music genre classification from FMA dataset
Repo for Deep Learning Projects in NLP, GANs, Computer Vision
This is a repository of implementations of deep learning papers, along with mini projects and experiments.
AI Based Virtual Assistant
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.
The program will output the home and away teams as well as their respective score predictions.
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
A neural networks based snake game
The system uses Convolutional Neural Network for extracting features in the training phase of the warning system.