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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
| Date | Stars |
|---|---|
| 2026-07-31 | 1387 |
| 2026-08-02 | 1387 |
| 2026-08-03 | 1388 |
| 2026-08-05 | 1389 |
| 2026-08-06 | 1389 |
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# Getting Started with Deep Learning with PyTorch and Hugging Face This repository contains instructions/examples/tutorials for getting started with Deep Learning using PyTorch and Hugging Face libraries like [transformers](https://huggingface.co/docs/transformers/index), [datasets](https://huggingface.co/docs/datasets/index). ### Training Examples * [Fine-tune FLAN-T5 XL/XXL using DeepSpeed & Hugging Face Transformers](./training/deepseed-flan-t5-summarization.ipynb) * [Fine-tune FLAN-T5 for chat & dialogue summarization](./training/flan-t5-samsum-summarization.ipynb) * [Fine-tune Falcon 180B with DeepSpeed ZeRO, LoRA & Flash Attention](./training/deepseed-falcon-180b-lora-fa.ipynb) * [Getting started with Transformers and TPU using PyTorch](./training/accelerate-tpu-bert-text-classification.ipynb) * [Extended Guide: Instruction-tune Llama 2](./training/instruction-tune-llama-2-int4.ipynb) * [Quantize open LLMs using optimum and GPTQ](./training/optimize-llama-2-gptq.ipynb) * [Fine-tune Embedding models for RAG](./training/fine-tune-embedding-model-for-rag.ipynb) * [Fine-tune LLMs in 2024 with TRL](./training/fine-tune-llms-in-2024-with-trl.ipynb) * [Fine-tune LLMs in 2025](./training/fine-tune-llms-in-2025.ipynb) * [Fine-tune Multimodal LLMs with TRL](./training/fine-tune-multimodal-llms-with-trl.ipynb) * [RLHF in 2024 with DPO & Hugging Face](./training/dpo-align-llms-in-2024-with-trl.ipynb) * [Fine-tune Gemma with ChatML](./training/gemma-lora-example.ipynb) * [Efficiently scale distributed training with FSDP & Q-LoRA](./training/fsdp-qlora-distributed-llama3.ipynb) * [Fine-tune classifier with ModernBERT in 2025](./training/fine-tune-modern-bert-in-2025.ipynb) * [How to align open LLMs in 2025 with DPO & Hugging Face](https://github.com/philschmid/deep-learning-pytorch-huggingface/blob/main/training/rl-with-llms-in-2025-dpo.ipynb) ### Inference Examples * [Text Generation Inference Examples](./inference/README.md) * [FP8 Inference Benchmarks](./inference/fp8-inference.md) * [Idefics Inference](./inference/idefics.md) * [Llama 2 Inference](./inference/llama-7b.md) * [Speculative Decoding](./inference/speculative.md) * [StarCoder GPTQ Inference](./inference/starcoder_gptq.md)
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Philipp Schmid · @huggingface
55
Yao Matrix · Intel · China
1
Tom Aarsen · @huggingface · Netherlands
1
Rishav Dash · Xelpmoc · India
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:024d55cd31eb12a5, llm:Repository name: philschmid/deep-learning-pytorch-huggingface — indicates deep learning with PyTorch and Hugging Face; language Jupyter Notebook. Likely collection of tutorials, examples, notebooks for deep learning using PyTorch and Hugging Face Transformers/Hub.
matched fp:024d55cd31eb12a5, llm:Repository name: philschmid/deep-learning-pytorch-huggingface — indicates deep learning with PyTorch and Hugging Face; language Jupyter Notebook. Likely collection of tutorials, examples, notebooks for deep learning using PyTorch and Hugging Face Transformers/Hub.
matched fp:024d55cd31eb12a5, llm:Repository name: philschmid/deep-learning-pytorch-huggingface — indicates deep learning with PyTorch and Hugging Face; language Jupyter Notebook. Likely collection of tutorials, examples, notebooks for deep learning using PyTorch and Hugging Face Transformers/Hub.
