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A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130
Deep Learning Tutorial notes and code. See the wiki for more info.
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
A modular framework for neural networks with Euclidean symmetry
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
End-to-End Speech Processing Toolkit
PyTorch extensions for high performance and large scale training.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Efficient implementation of Wavenet generation.
An implementation of the Globally Normalized Reader
A toolkit for developing and comparing reinforcement learning algorithms.
Assignments for CS294-112.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
Implementation of End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures in ACL2016.
Models built with TensorFlow
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
TensorFlow Neural Machine Translation Tutorial
https://opencatalystproject.org/
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
Geometric Deep Learning Extension Library for PyTorch
A living collection of deep learning problems
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A batched offline inference oriented version of segment-anything
PyTorch implementation of SENet
A general-purpose encoder-decoder framework for Tensorflow
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
Core Sketch Library.
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.