ColossalAI-Examples - Examples of training models with hybrid parallelism using ColossalAI

Overview

ColossalAI-Examples

This repository contains examples of training models with ColossalAI. These examples fall under three categories:

  1. Computer Vision
  2. Natural Language Processing
  3. General examples to demonstrate ColossalAI's features

Discussion

Discussion about the Colossal-AI project and examples is always welcomed! We would love to exchange ideas with the community to better help this project grow. If you think there is a need to discuss anything, you may jump to our dicussion forum and create a topic there.

If you encounter any problem while running these examples, you may want to raise an issue in this repository.

Contributing

This project welcomes constructive ideas and implementations from the community. If you wish to add an example for a specific application, please commit your code either in the image or language folders. If you wish to add new examples to explain our features, you can commit your code in the features folder, we may invite you to put up a tutorial or blog in ColossalAI Documentation.

Owner
HPC-AI Tech
We are a global team to help you train and deploy your AI models
HPC-AI Tech
Hierarchical probabilistic 3D U-Net, with attention mechanisms (β€”π˜ˆπ˜΅π˜΅π˜¦π˜―π˜΅π˜ͺ𝘰𝘯 𝘜-π˜•π˜¦π˜΅, π˜šπ˜Œπ˜™π˜¦π˜΄π˜•π˜¦π˜΅) and a nested decoder structure with deep supervision (β€”π˜œπ˜•π˜¦π˜΅++).

Hierarchical probabilistic 3D U-Net, with attention mechanisms (β€”π˜ˆπ˜΅π˜΅π˜¦π˜―π˜΅π˜ͺ𝘰𝘯 𝘜-π˜•π˜¦π˜΅, π˜šπ˜Œπ˜™π˜¦π˜΄π˜•π˜¦π˜΅) and a nested decoder structure with deep supervision (β€”π˜œπ˜•π˜¦π˜΅++). Built in TensorFlow 2.5. Configured for vox

Diagnostic Image Analysis Group 32 Dec 08, 2022
A simple baseline for 3d human pose estimation in PyTorch.

3d_pose_baseline_pytorch A PyTorch implementation of a simple baseline for 3d human pose estimation. You can check the original Tensorflow implementat

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the official code for ICRA 2021 Paper: "Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation"

G2S This is the official code for ICRA 2021 Paper: Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation by Hemang

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Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

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Code for the paper "Balancing Training for Multilingual Neural Machine Translation, ACL 2020"

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The FIRST GANs-based omics-to-omics translation framework

OmiTrans Please also have a look at our multi-omics multi-task DL freamwork πŸ‘€ : OmiEmbed The FIRST GANs-based omics-to-omics translation framework Xi

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An implementation of chunked, compressed, N-dimensional arrays for Python.

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Code for DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning

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TΓΌrkiye CanlΔ± Mobese GΓΆrΓΌntΓΌlerinde Profesyonel Nesne Takip Sistemi

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General Virtual Sketching Framework for Vector Line Art (SIGGRAPH 2021)

General Virtual Sketching Framework for Vector Line Art - SIGGRAPH 2021 Paper | Project Page Outline Dependencies Testing with Trained Weights Trainin

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An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"

RASP Setup Mac or Linux Run ./setup.sh . It will create a python3 virtual environment and install the dependencies for RASP. It will also try to insta

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A 3D sparse LBM solver implemented using Taichi

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This repo is a C++ version of yolov5_deepsort_tensorrt. Packing all C++ programs into .so files, using Python script to call C++ programs further.

yolov5_deepsort_tensorrt_cpp Introduction This repo is a C++ version of yolov5_deepsort_tensorrt. And packing all C++ programs into .so files, using P

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Winners of the Facebook Image Similarity Challenge

Winners of the Facebook Image Similarity Challenge

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Piotr - IoT firmware emulation instrumentation for training and research

Piotr: Pythonic IoT exploitation and Research Introduction to Piotr Piotr is an emulation helper for Qemu that provides a convenient way to create, sh

Damien Cauquil 51 Nov 09, 2022
Explainable Medical ImageSegmentation via GenerativeAdversarial Networks andLayer-wise Relevance Propagation

MedAI: Transparency in Medical Image Segmentation What is this repo This repo contains the code and experiments that are implemented to contribute in

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Meta-learning for NLP

Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks Code for training the meta-learning models and fine-tuning on downstr

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Process JSON files for neural recording sessions using Medtronic's BrainSense Percept PC neurostimulator

percept_processing This code processes JSON files for streamed neural data using Medtronic's Percept PC neurostimulator with BrainSense Technology for

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Code of the paper "Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition"

SEW (Squeezed and Efficient Wav2vec) The repo contains the code of the paper "Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speec

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The description of FMFCC-A (audio track of FMFCC) dataset and Challenge resluts.

FMFCC-A This project is the description of FMFCC-A (audio track of FMFCC) dataset and Challenge resluts. The FMFCC-A dataset is shared through BaiduCl

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