How to Push to a GitHub Repository in IntelliJ

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1. Initialize and Connect the Git Repository # Run in the terminal from the project root git init git remote add origin https://github.com/[user]/[repository].git 2. Configure Git in IntelliJ Select VCS → Enable Version Control Integration . Choose Git and click OK . 3. Connect Your GitHub Account Go to File → Settings (on Windows) or IntelliJ IDEA → Preferences (on macOS). Navigate to Version Control → GitHub . Click Add Account ( + ). Select Log In with Token... and enter your GitHub Personal Access Token. 4. Add and Commit Files Go to VCS → Git → Add (or use the shortcut Ctrl+Alt+A ). Select the files you want to commit. Go to VCS → Commit (or use the shortcut Ctrl+K ). Write a commit message and click Commit . 5. Push Go to VCS → Git → Push (or use the shortcut Ctrl+Shift+K ). Click the Push button. Simpler Method (Using IntelliJ's Built-in Feature) Go to VCS → Share Project on GitHub . Set the repository name to vita-user-...
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Install NVIDIA Driver for GeForce GTX 1660 Ti on Ubuntu 24.04

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Nvidia GeForce GTX 1660 Ti

If you have an NVIDIA GeForce GTX 1660 Ti installed on your laptop and want to enable GPU support (e.g., for CUDA-enabled libraries like PyTorch), here's how to install the appropriate NVIDIA driver on Ubuntu 24.04.

Step 1: Check if your NVIDIA GPU is detected

stt@GU502DU:~$ lspci | grep -i nvidia
01:00.0 VGA compatible controller: NVIDIA Corporation TU116M [GeForce GTX 1660 Ti Mobile] (rev a1)
01:00.1 Audio device: NVIDIA Corporation TU116 High Definition Audio Controller (rev a1)
01:00.2 USB controller: NVIDIA Corporation TU116 USB 3.1 Host Controller (rev a1)
01:00.3 Serial bus controller: NVIDIA Corporation TU116 USB Type-C UCSI Controller (rev a1)

Step 2: Check current driver status

If you see something like this when you run nvidia-smi, it means the driver is not installed yet.
root@GU502DU:~# nvidia-smi
Command 'nvidia-smi' not found, but can be installed with:
apt install nvidia-utils-470         
apt install nvidia-utils-535         
apt install nvidia-utils-550         
apt install nvidia-utils-570-server  
...

Step 3: Automatically install recommended driver

Update your package list and install the recommended driver: This command will automatically detect and install the most suitable NVIDIA driver for your system.
sudo apt update
sudo ubuntu-drivers autoinstall

Tip: If you prefer a graphical method, you can also open “Software & Updates” > “Additional Drivers” and select the recommended NVIDIA driver.

Step 4: Reboot

After installation, reboot your system to load the new driver:
sudo reboot

Step 5: Confirm Installation

After rebooting, check the driver and CUDA version using:

(diarization_env) stt@GU502DU:~$ nvidia-smi
Mon May  5 20:10:17 2025       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
|-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA GeForce GTX 1660 ...    Off |   00000000:01:00.0 Off |                  N/A |
| N/A   43C    P8              8W /   60W |       6MiB /   6144MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+
                                                                                         
+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|    0   N/A  N/A            1621      G   /usr/lib/xorg/Xorg                        4MiB |
+-----------------------------------------------------------------------------------------+

If you see your GeForce GTX 1660 Ti along with Driver Version and CUDA Version, your installation was successful and GPU acceleration is now available.

Location: Calgary, AB, Canada

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