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Name: Personal Learning and Practice
Type: Organization
Name: Personal Learning and Practice
Type: Organization
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Minimal and Clean Reinforcement Learning Examples
Python implementation of Reinforcement Learning: An Introduction
Simple Reinforcement learning tutorials
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
A neural network that transforms a screenshot into a static website
Squeeze-and-Excitation Networks
Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.
shadowsocks.wiki
Simple but Flexible Recommendation Engine in PyTorch
Single Shot MultiBox Detector in TensorFlow
Detect text in natural images with SSD, Single Shot Detection
In-browser Markdown editor
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model
Code for Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
💯 Algorithms study materials, behavioral content and tips for rocking your coding interview
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Computation using data flow graphs for scalable machine learning
TensorFlow & Deep Learning Tutorial
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Implementations of CNNs, RNNs, GANs, etc
Dynamic seq2seq in TensorFlow, step by step
Tensorflow tutorial from basic to hard
tensorflow的一些实战练习
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.