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Name: Xingjian Shi
Type: User
Bio: Deep Learning Researcher / Developer
Name: Xingjian Shi
Type: User
Bio: Deep Learning Researcher / Developer
Code release for LayoutDiffuse
Code Example for Learning Multimodal Data Augmentation in Feature Space
Inference code for LLaMA models
A framework for few-shot evaluation of autoregressive language models.
Official PyTorch implementation of "Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning" (CVPR 2021 Oral)
Longformer: The Long-Document Transformer
The PyTorch implementation of Latent Video Transformer.
C++ Code for Hierarchical Sparse Coding
Ongoing research training transformer language models at scale, including: BERT & GPT-2
Model parallel transformers in JAX and Haiku
Pure NumPy practice with third-party operator integration
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Code project to transform the MNIST handwritten digit images to sequences of pen strokes to obtain a benchmark data set for sequence learning.
Models built with TensorFlow
Moses, the machine translation system
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
Using deep learning to generate music in MIDI format.
Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.
Efficient and Flexible Distributed Deep Learning Framework, for python, R, Julia and more
MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd
An interactive book on deep learning. Much easy, so MXNet. Wow.
Expanding natural instructions
Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"
NeurIPS 2022 AutoGluon Workshop. See website: https://autogluon.github.io/neurips2022-autogluon-workshop/
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
A collection of natural language processing notebooks.
一键中文数据增强包 ; NLP数据增强、bert数据增强、EDA:pip install nlpcda
TensorFlow Neural Machine Translation Tutorial
Intermediate Computational Graph Representation for Deep Learning Systems
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.