tflearn

Deep learning library featuring a higher-level API for TensorFlow.

TensorFlow and Deep Learning Tutorials

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

Real-time Facial Emotion Detection using deep learning

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.

Twitter Bot

Tensorflow implementation of Facebook TagSpace

Study and implementation about deep learning models, architectures, applications and frameworks

The tools and syntax you need to code neural networks from day one.

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.

RNN-LSTM that learns passwords from a starting list

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.

Real time licence plate recognition system

Draw and classify digits (0-9) in a browser using machine learning

A convolutional autoencoder made in TFLearn.

Repo for Deep Learning Projects in NLP, GANs, Computer Vision

Image recognition and classification using Convolutional Neural Networks with TensorFlow

This is a repository of implementations of deep learning papers, along with mini projects and experiments.

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.

Data pipeline and training pipeline for 🎵 music genre classification from FMA dataset

The three-flood neural network is implemented in three ways(Naive/Tensorflow/TFlearn).

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.

Comparison of TensorFlow Wrappers

Dockerfile for machine learning environment(scikit-learn, chainer, gensim, tensorflow, jupyter)