diff --git a/.github/workflows/diff_length.yml b/.github/workflows/diff_length.yml
deleted file mode 100644
index 49db8c13b..000000000
--- a/.github/workflows/diff_length.yml
+++ /dev/null
@@ -1,34 +0,0 @@
-# .github/workflows/large-diffs.yml
-name: Large Diffs
-
-on:
-  pull_request:
-    types: [opened, edited]
-
-jobs:
-  check-diff-size:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v3
-
-      - name: Install Python
-        uses: actions/setup-python@v2
-        with:
-          python-version: '3.10'
-
-      - name: Install dependencies
-        run: pip install requests
-
-      - name: Check diff size
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          PR_NUMBER=$(echo "${{ github.event.pull_request.url }}" | cut -d/ -f7)
-          DIFF=$(curl -s -H "Authorization: token $GITHUB_TOKEN" "https://api.github.com/repos/${{ github.repository }}/pulls/$PR_NUMBER.diff")
-          LINES=$(echo "$DIFF" | wc -l)
-          if [ $LINES -gt 1000 ]; then
-            MESSAGE=":warning: Large diff detected ($LINES lines). Would recommend splitting your PR into smaller chunks if possible"
-            URL=$(echo "${{ github.event.pull_request.url }}" | cut -d/ -f5-7)
-            curl -H "Authorization: token $GITHUB_TOKEN" -X POST -d "{\"body\": \"$MESSAGE\"}" "https://api.github.com/repos/$URL/issues/$PR_NUMBER/comments"
-          fi
diff --git a/.github/workflows/eks.yml b/.github/workflows/eks.yml
deleted file mode 100644
index 75f7ee131..000000000
--- a/.github/workflows/eks.yml
+++ /dev/null
@@ -1,101 +0,0 @@
-# This workflow will build and push a new container image to Amazon ECR,
-# and then will deploy a new task definition to Amazon ECS, when there is a push to the "main" branch.
-#
-# To use this workflow, you will need to complete the following set-up steps:
-#
-# 1. Create an ECR repository to store your images.
-#    For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`.
-#    Replace the value of the `ECR_REPOSITORY` environment variable in the workflow below with your repository's name.
-#    Replace the value of the `AWS_REGION` environment variable in the workflow below with your repository's region.
-#
-# 2. Create an ECS task definition, an ECS cluster, and an ECS service.
-#    For example, follow the Getting Started guide on the ECS console:
-#      https://us-east-2.console.aws.amazon.com/ecs/home?region=us-east-2#/firstRun
-#    Replace the value of the `ECS_SERVICE` environment variable in the workflow below with the name you set for the Amazon ECS service.
-#    Replace the value of the `ECS_CLUSTER` environment variable in the workflow below with the name you set for the cluster.
-#
-# 3. Store your ECS task definition as a JSON file in your repository.
-#    The format should follow the output of `aws ecs register-task-definition --generate-cli-skeleton`.
-#    Replace the value of the `ECS_TASK_DEFINITION` environment variable in the workflow below with the path to the JSON file.
-#    Replace the value of the `CONTAINER_NAME` environment variable in the workflow below with the name of the container
-#    in the `containerDefinitions` section of the task definition.
-#
-# 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`.
-#    See the documentation for each action used below for the recommended IAM policies for this IAM user,
-#    and best practices on handling the access key credentials.
-
-name: Push image to Amazon ECR
-
-# Only trigger, when we push to prod-deploy
-on:
-  push:
-    branches:
-      - "prod-deploy"
-
-env:
-  AWS_REGION: "us-west-2" # set this to your preferred AWS region, e.g. us-west-1
-  ECR_REPOSITORY: "deep-learning-playground" # set this to your Amazon ECR repository name
-  ECS_SERVICE: "deep-learning-playground-service" # set this to your Amazon ECS service name
-  ECS_CLUSTER: "deep-learning-playground" # set this to your Amazon ECS cluster name
-  ECS_TASK_DEFINITION:
-    ".aws/task-definition.json" # set this to the path to your Amazon ECS task definition
-    # file, e.g. .aws/task-definition.json
-  CONTAINER_NAME:
-    "deep-learning-playground-container" # set this to the name of the container in the
-    # containerDefinitions section of your task definition
-
-permissions:
-  contents: read
-  actions: write
-
-jobs:
-  deploy:
-    name: Deploy
-    runs-on: ubuntu-latest
-    environment: production
-    steps:
-      - name: Get current branch
-        run: echo running on branch ${GITHUB_REF##*/}
-
-      - name: Wait for tests to succeed
-        if: ${{ github.ref }} = "refs/heads/prod-deploy"
-        uses: lewagon/wait-on-check-action@v1.1.1
-        with:
-          ref: ${{ github.sha }}
-          check-name: "build-linux"
-          repo-token: ${{ secrets.PAT }}
-          allowed-conclusions: success,skipped
-          verbose: true
-          wait-interval: 10
-
-      - name: Checkout
-        uses: actions/checkout@v3
-
-      - name: Configure AWS credentials
-        uses: aws-actions/configure-aws-credentials@v1
-        with:
-          aws-access-key-id: ${{ secrets.AWS_DEPLOY_ACCESS_KEY_ID }}
-          aws-secret-access-key: ${{ secrets.AWS_DEPLOY_SECRET_ACCESS_KEY }}
-          aws-region: ${{ env.AWS_REGION }}
-
-      - name: Login to Amazon ECR
-        id: login-ecr
-        uses: aws-actions/amazon-ecr-login@v1
-
-      - name: Build, tag, and push image to Amazon ECR
-        id: build-image
-        env:
-          ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
-          IMAGE_TAG: ${{ github.sha }}
-        run: |
-          # Build a docker container and
-          # push it to ECR so that it can
-          # be deployed to ECS.
-
-          aws ecr get-login-password --region us-west-2 | docker login --username AWS --password-stdin 521654603461.dkr.ecr.us-west-2.amazonaws.com
-
-          docker build -t $IMAGE_TAG --build-arg TARGETARCH="x86" --build-arg AWS_REGION=${{ secrets.AWS_REGION }} --build-arg AWS_DEPLOY_ACCESS_KEY_ID=${{ secrets.AWS_DEPLOY_ACCESS_KEY_ID }} --build-arg AWS_DEPLOY_SECRET_ACCESS_KEY=${{ secrets.AWS_DEPLOY_SECRET_ACCESS_KEY }} .
-
-          docker tag $IMAGE_TAG 521654603461.dkr.ecr.us-west-2.amazonaws.com/dlp-eks-container:latest
-
-          docker push 521654603461.dkr.ecr.us-west-2.amazonaws.com/dlp-eks-container:latest
diff --git a/.github/workflows/railway-deploy.yml b/.github/workflows/railway-deploy.yml
deleted file mode 100644
index c557db6b0..000000000
--- a/.github/workflows/railway-deploy.yml
+++ /dev/null
@@ -1,103 +0,0 @@
-name: Deploy to Railway
-on:
-  pull_request:
-    types: [labeled]
-  workflow_dispatch:
-    inputs:
-      environment:
-        description: 'Deployment environment'
-        required: true
-        default: 'Development'
-        type: choice
-        options:
-        - Development
-        - Preview
-
-jobs:
-  check_trigger:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Check label or branch
-        id: check
-        run: echo ::set-output name=to_run::${{ ((github.event.label.name == 'deploy') || (github.event_name == 'workflow_dispatch')) && 'True' || 'False' }}
-    outputs:
-      status: ${{ steps.check.outputs.to_run }}
-  
-  deploy:
-    runs-on: ubuntu-latest
-    needs: check_trigger
-    if: needs.check_trigger.outputs.status == 'True'
-    steps:
-      - uses: actions/checkout@v3
-
-      - name: Set Environment
-        id: environment
-        run: echo ::set-output name=environment::${{ github.event.label.name == 'deploy' && 'Development' || inputs.environment }}
-
-      - name: Remove Label
-        uses: andymckay/labeler@master
-        with:
-          remove-labels: 'deploy'
-
-      - name: Set Railway Token and Link
-        id: railway_config
-        run: |
-          echo ::set-output name=token::${{ steps.environment.outputs.environment == 'Development' && secrets.RAILWAY_TOKEN_DEV || secrets.RAILWAY_TOKEN_PREV }}
-          echo ::set-output name=link::${{ steps.environment.outputs.environment == 'Development' && 'https://deep-learning-playground-development.up.railway.app/' || 'https://deep-learning-playground-preview.up.railway.app/' }}
-
-      - name: Display Inputs
-        run: |
-          echo "\
-            Github Ref: ${{ github.ref }} \
-            Github Event: ${{ github.event_name }} \
-            Environment: ${{ steps.environment.outputs.environment }} \
-          "
-
-      - name: Use Node 16
-        uses: actions/setup-node@v3.4.1
-        with:
-          node-version: 16
-
-      - name: Install Railway
-        run: npm i -g @railway/cli
-
-      - name: Create GitHub Deployment
-        uses: chrnorm/deployment-action@releases/v1
-        id: deployment
-        with:
-          token: "${{ secrets.GITHUB_TOKEN }}"
-          environment: ${{ steps.environment.outputs.environment }}
-
-      - name: Railway Deploy
-        run: |
-          echo "Starting Railway Deployment"
-          railway up -e ${{ steps.environment.outputs.environment }}
-          echo "Deployment Complete. View at ${{ steps.railway_config.outputs.link }}"
-        env:
-          RAILWAY_TOKEN: ${{ steps.railway_config.outputs.token }}
-
-      - name: Update Deployment Status (success)
-        if: success()
-        uses: chrnorm/deployment-status@releases/v1
-        with:
-          token: ${{ secrets.GITHUB_TOKEN }}
-          environment_url: ${{ steps.railway_config.outputs.link }}
-          state: "success"
-          deployment_id: ${{ steps.deployment.outputs.deployment_id }}
-      
-      - name: Comment Deployment on PR
-        if: success() && (github.event_name == 'pull_request')
-        uses: thollander/actions-comment-pull-request@v1
-        with:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          message: ${{ format('Deployment Live at {0}', steps.railway_config.outputs.link) }}
-
-      - name: Update Deployment Status (failure)
-        if: failure()
-        uses: chrnorm/deployment-status@releases/v1
-        with:
-          token: ${{ secrets.GITHUB_TOKEN }}
-          state: "failure"
-          deployment_id: ${{ steps.deployment.outputs.deployment_id }}
-
-