ml-lab Goto Github PK
Type: Organization
Bio: forks of interesting repos relating to machine learning
Type: Organization
Bio: forks of interesting repos relating to machine learning
Implementation of Reinforcement Learning Models in Tensorflow
ResNet model in TensorFlow
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
πSpeech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
This is a TensorFlow implementation of the WaveNet generative neural network architecture https://deepmind.com/blog/wavenet-generative-model-raw-audio/ for text generation.
An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
Simple tutorials using Google's TensorFlow Framework
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).
TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
A TensorFlow implementation of DeepMind's WaveNet paper
Slides and code from our TensorFlow Workshop.
:satellite: Organized & Useful Resources about Deep Learning with TensorFlow
Introduction to TensorFlow
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
A tensorflow implementation of an HMM layer
Convert coco dataset to tfrecord for the tensorflow detection API.
Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
QRNN implementation for TensorFlow
TensorFlow API for the Scala Programming Language
A R/Shiny app for interactive RNN tensorflow models
MNIST Digit Classification Using Stacked Autoencoder And TensorFlow
π¬ Slides and supplementary codes for my talk 'Debugging Tips on Tensorflow' (2016)
TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters
TensorForce: A TensorFlow library for applied reinforcement learning
Common interface for Theano, CGT, and TensorFlow
self-driving MarioKart with TensorFlow
A Julia package for large-scale tensor computations, with a hint of category theory
Tensorlang, a differentiable programming language based on TensorFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.