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refac: refresh#13

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echarles merged 11 commits into
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refac/refresh
Jun 7, 2026
Merged

refac: refresh#13
echarles merged 11 commits into
mainfrom
refac/refresh

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@echarles echarles commented Jun 7, 2026

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Copilot AI review requested due to automatic review settings June 7, 2026 07:59
@echarles echarles merged commit 5e217fb into main Jun 7, 2026
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Pull request overview

This PR refreshes the examples repository branding/content and expands the example catalog by adding new Ray, Evals, and prompt assets while updating links to the datalayer.ai domain and new image hosting.

Changes:

  • Updated README content across the repo (new headings, new catalog structure, updated links/assets).
  • Added new example bundles: Ray CLI scripts + docs, Evals SDK examples + Makefile, prompt examples + sequence fixture, and new notebooks.
  • Removed/replaced older prompt/notebook locations to match the refreshed catalog structure.

Reviewed changes

Copilot reviewed 24 out of 29 changed files in this pull request and generated 6 comments.

Show a summary per file
File Description
sentiment-analysis-gemma/README.md Updates badge link and refreshes heading style.
README.md Rewrites the root README with a new catalog, updated links, and updated images.
ray/README.md Adds documentation for submitting Ray examples via the Datalayer Ray CLI.
ray/hello_ray.py Adds a basic Ray remote execution example.
ray/pi_monte_carlo.py Adds a Monte Carlo π estimation Ray example.
ray/actor_counter.py Adds a stateful actor example demonstrating Ray actors.
pytorch/README.md Renames/restructures PyTorch section headings.
pytorch/pytorch-examples.ipynb Adds a matrix multiplication notebook intended to showcase cell-specific runtimes.
prompts/README.md Adds prompt examples for Jupyter MCP usage.
prompts/unknown-sequence.fa Adds an “unknown sequence” FASTA fixture referenced by prompt examples.
mcp-prompt/README.md Removes the previous MCP prompt README (migrated to prompts/).
matrix-multiplication-pytorch/matrix-multiplication-pytorch.ipynb Removes the previous matrix multiplication notebook (replaced by pytorch/pytorch-examples.ipynb).
llm-text-generation-transformers/README.md Updates badge link and refreshes heading style.
llm-instruct-tuning-mistral/README.md Updates badge link and refreshes heading style.
llm-inference-llama-cpp-langchain/README.md Updates badge link and refreshes heading style.
llm-inference-llama-cpp-comparison/README.md Updates badge link and refreshes heading style.
image-face-detection-opencv/README.md Updates badge link/heading and swaps image URLs.
image-diffusion-dreambooth/README.md Updates badge link/heading and swaps image URL.
image-classifier-fastai/README.md Updates badge link/heading and swaps image URL.
gpu-vs-cpu/README.md Updates badge link and refreshes heading style.
gpu-vs-cpu/gpu-vs-cpu.ipynb Adds a CPU/GPU performance comparison notebook.
gpu-check/README.md Updates badge link.
gpu-check/gpu-check.ipynb Adds/updates GPU sanity check notebook content.
evals/README.md Adds detailed documentation for Evals SDK examples and workflows.
evals/Makefile Adds make targets to run batch/interactive eval examples in multiple modes.
evals/evals_interactive_example.py Adds a full interactive eval example script (evalset/experiments/runs + monitoring events).
evals/evals_batch_example.py Adds a full batch eval example script (evalset/experiments/runs + reporting).
.gitignore Ignores generated eval reports under evals/.

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Comment thread prompts/README.md
These are prompt examples you can use with [Jupyter MCP Server](https://github.com/datalayer/jupyter-mcp-server)

```
Create matplolib examples with many variants in Jupyter.
Comment thread prompts/README.md
```

```
Create a jupyter notebook that uses biopython to analysis an "Unknown sequence" of DNA/RNA which happens to derive from a cornavirus genome.
Comment on lines +66 to +75
if requested == 'sdk-proxy':
runtimes_url = args.runtimes_url
if args.execution_target != 'cloud':
runtimes_url = runtimes_url or DEFAULT_LOCAL_RUNTIMES_URL
return (
'sdk',
args.iam_url or DEFAULT_LOCAL_IAM_URL,
runtimes_url,
args.ai_agents_url or DEFAULT_LOCAL_AI_AGENTS_URL,
)
Comment on lines +3 to +7
"kernelspec": {
"name": "pyodide",
"display_name": "Pyodide (Python)",
"language": "python"
},
Comment on lines +84 to +97
"outputs": [
{
"ename": "ModuleNotFoundError",
"evalue": "No module named 'torch'",
"output_type": "error",
"traceback": [
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
"\u001b[31mModuleNotFoundError\u001b[39m Traceback (most recent call last)",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mtorch\u001b[39;00m\n\u001b[32m 3\u001b[39m \u001b[38;5;66;03m# Convert dataframe to torch tensor.\u001b[39;00m\n\u001b[32m 4\u001b[39m tensor = torch.tensor(df.values).float()\n",
"\u001b[31mModuleNotFoundError\u001b[39m: No module named 'torch'"
]
}
],
"execution_count": 2
},
{
"cell_type": "code",
"source": "# Transfer dataframe to GPU Kernel and perform computation.\nimport torch\n\n# Convert dataframe to torch tensor and transfer to GPU.\n# tensor = torch.tensor(df.values).float().cuda()\ntensor = torch.tensor(df.values).float()\n\n# Perform a intensive operator e.g. a matrix multiplication.\nresult = torch.matmul(tensor, tensor.T)\n\n# Convert to numpy.\nresult_np = result.cpu().numpy()\nresult_np",
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2 participants