Youhe Jiang's repositories

IJCAI2023-OptimalShardedDataParallel

[IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any interests, please visit/star/fork https://github.com/Youhe-Jiang/OptimalShardedDataParallel

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Hetu

A high-performance distributed deep learning system targeting large-scale and automated distributed training.

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apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

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AutoShard_Tool

a tool for recursive autoshard

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ColossalAI

Colossal-AI: A Unified Deep Learning System for Big Model Era

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ColossalAI-Examples

Examples of training models with hybrid parallelism using ColossalAI

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DeepLabV3Plus-Pytorch

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

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DeepRL_PyTorch

Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

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DeepSpeedExamples

Example models using DeepSpeed

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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fast-style-transfer

TensorFlow CNN for fast style transfer ⚑πŸ–₯πŸŽ¨πŸ–Ό

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FasterTransformer

Transformer related optimization, including BERT, GPT

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FlexFlow

A distributed deep learning framework that supports flexible parallelization strategies.

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horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

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llama

Inference code for LLaMA models

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Megatron-DeepSpeed

Ongoing research training transformer language models at scale, including: BERT & GPT-2

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msccl-tools

Synthesizer for optimal collective communication algorithms

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nccl-tests

NCCL Tests

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PipeSwitch

PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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transformers

πŸ€— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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yolov7_d2

πŸ”₯πŸ”₯πŸ”₯πŸ”₯ (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! πŸ”₯πŸ”₯πŸ”₯

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Youhe-Jiang

Config files for my GitHub profile.

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