https://github.com/LambdaLabsML/examples

Deep Learning Examples
https://github.com/LambdaLabsML/examples

Last synced: 16 days ago
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Deep Learning Examples

• Host: GitHub
• URL: https://github.com/LambdaLabsML/examples
• Owner: LambdaLabsML
• License: mit
• Created: 2022-07-07T13:06:19.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-30T04:29:20.000Z (5 months ago)
• Last Synced: 2024-02-23T11:32:04.637Z (4 months ago)
• Language: Jupyter Notebook
• Size: 78.5 MB
• Stars: 776
• Watchers: 14
• Forks: 101
• Open Issues: 38
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-stars - LambdaLabsML/examples - Deep Learning Examples (Jupyter Notebook)

README

        
# Deep Learning Examples

A repository of deep learning examples.

## Getting Started

- Pick an example from the list below

- Use your [local GPU machine](https://lambdalabs.com/gpu-workstations/vector), or get the GPUs you need in [Lambda Cloud](https://lambdalabs.com/service/gpu-cloud)

- Follow the instructions in the examples README.md

## Examples

- [Finetune Stable Diffusion text-to-image model](stable-diffusion-finetuning/)

- [YoloV5 - object detection example using YoloV5](yolov5/)

- [GPTNeoX - Large Language Model Multi-Node Distributed Training](gpt-neox-training/)

- [Experiment Tracking](experiment-tracking/)

- [PyTorch DDP - Multi node training with PyTorch DDP, torch.distributed.launch, torchrun and mpirun](pytorch/distributed)

- [nerfstudio on Lambda Cloud](nerfstudio/)