bennnun Goto Github PK
Type: User
Location: Osaka, Japan
Type: User
Location: Osaka, Japan
A list of recent papers regarding deep reinforcement learning
A collection of notebooks / python scripts with Keras.
Summaries and notes on Deep Learning research papers
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
Deep Equilibrium Models
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
The DeepMind Control Suite and Package
A set of neuroevolution experiments with/towards deep networks
Dream to Control: Learning Behaviors by Latent Imagination
Converting EfficientNet to Pytorch for use with fastai
A PyTorch implementation of EfficientNet
Robot-centric elevation mapping for rough terrain navigation
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
The world's simplest facial recognition api for Python and the command line
A simple baseline for one-shot multi-object tracking
Non-invasive Fall Detection with Keras and Tensorflow
The fast.ai deep learning library, lessons, and tutorials
dev notebooks (for docs see http://docs.fast.ai and https://github.com/fastai/fastai)
Fastai extension to work with 3d medical images
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
An Architecture for the Versatile Control of Legged Robots
Geometric loss functions between point clouds, images and volumes
Universal grid map library for mobile robotic mapping
Binary storage format for deep learning on videos.
A toolkit for developing and comparing reinforcement learning algorithms.
OCR software for recognition of handwritten text
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
Image augmentation for machine learning experiments.
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
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.