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link fixed, main page made simpler
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ArkashJ committed Aug 30, 2024
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Expand Up @@ -5,51 +5,51 @@ The TKLAB is a research lab at Harvard Medical School. This wiki is a collection
## Table of Contents

- Active Projects
- [ASEM](/docs/Active_Projects/ASEM/project)
- [CARE](/docs/Active_Projects/CARE/)
- [Cryosamba](/docs/Active_Projects/Cryosamba/paper)
- [Image Recognition](/docs/Active_Projects/Image_Recognition/)
- [GitHub](/docs/GitHub/github)
- ASEM
- CARE
- Cryosamba
- Image Recognition
- GitHub
- Lab Computing Site
- [CARE](/docs/LabComputingSite/CARE/care)
- [Getting Started at TKLAB](/docs/LabComputingSite/GettingStartedAtTKLAB/quickstart/)
- [LLSM AO-LLS (MOSAIC)](/docs/LabComputingSite/llsm_ao-lls_mosaic/llsm/)
- [References](/docs/LabComputingSite/References/references/)
- [Tracking](/docs/LabComputingSite/Tracking/detection_and_tracking/)
- [Nvidia-Cuda](/docs/LabComputingSite/Nvidia-Cuda/deeplearningsetup/)
- [Python](/docs/LabComputingSite/Python/python-virtual-environment/)
- [SBGRID WIKI](/docs/LabComputingSite/SBGRID_WIKI/sbgrid/)
- CARE
- Getting Started at TKLAB
- LLSM AO-LLS (MOSAIC)
- References
- Tracking
- Nvidia-Cuda
- Python
- SBGRID WIKI

## Access Compute Resources

To access the TKLAB compute resources, you can follow the guides below:

- [Remotely Access Machines](/docs/LabComputingSite/remote_access/)
- [SLURM](/docs/getstarted/gettingstartedattklab/slurm/)
- [Quickstart](/docs/LabComputingSite/GettingStartedAtTKLAB/Quickstart/)
- Remotely Access Machines
- SLURM
- Quickstart

## Troubleshooting with SBGRID

To troubleshoot issues with SBGRID, you can follow the guides below:

- [SBGRID WIKI](/docs/LabComputingSite/SBGRID_WIKI/sbgrid/)
- SBGRID WIKI

Email [email protected] for further assistance.

## GitHub

To learn more about GitHub, you can follow the guides below:

- [GitHub](/docs/GitHub/github)
- GitHub

## Python

To learn more about Python, you can follow the guides below:

- [Python](/docs/LabComputingSite/Python/python-virtual-environment/)
- Python

## Nvidia

To learn about using your Nvidia-GPU compute wisely and docs, follow the guide below:

- [Nvidia-Cuda](/docs/LabComputingSite/Nvidia-Cuda/deeplearningsetup/)
- Nvidia-Cuda

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