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
Pytorch implementation of deep image matting
PyTorch implementation of Deformable Convolution
Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom
Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch
Dual Path Networks (DPN) supporting pretrained weights converted from original MXNet implementation
Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286
This is code I wrote within less than an hour so as to very roughly draft how I would code a Dynamic RNN Decoder Tree with PyTorch.
PyTorch Deep Texture Encoding Network
Implementation of Everybody Dance Now by pytorch
PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
PyTorch Implementation of Fully Convolutional Networks
A Port of Fréchet Inception Distance (FID score) to PyTorch
PyTorch implementations of algorithms for density estimation
PyTorch implementations of Generative Adversarial Networks.
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
Collection of generative models in Pytorch version.
PyTorch implementation of Grad-CAM
Gradually-Warmup Learning Rate Scheduler for PyTorch
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
PyTorch implementation of Looking Fast and Slow: Memory-Guided Mobile Video Object Detection
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
PyTorch implementation of the MatchNet generative model
A PyTorch implementation of Learning to learn by gradient descent by gradient descent
Mobilenet model converted from tensorflow
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.