Top Python Transformers repositories on GitHub
Transformer model implementations, training kits, and finetuning tooling. Filtered to projects whose primary language is Python.
Ranked by stars across 835 Python repositories tagged transformers. Refreshed daily.
- 1hiyouga/LlamaFactory★ 74,848 · ⑂ 9,170
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
- fine-tuning
- llama
- llm
- peft
- transformers
- rlhf
- 2labmlai/annotated_deep_learning_paper_implementations★ 67,457 · ⑂ 6,757
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
- transformers
- reinforcement-learning
- 3rohitg00/ai-engineering-from-scratch★ 54,932 · ⑂ 9,647
Learn it. Build it. Ship it for others.
- agents
- ai
- ai-agents
- ai-engineering
- computer-vision
- course
- 4lucidrains/vit-pytorch★ 25,514 · ⑂ 3,497
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
- artificial-intelligence
- attention-mechanism
- transformers
- computer-vision
- image-classification
- Live search
Find the people behind these repos
Stars rank the projects. I can rank the engineers - maintainers, top contributors, and the people they work with. Fire one of these to see how it works.
500 free credits on sign-up, no card needed.
- 5huggingface/peft★ 21,694 · ⑂ 2,507
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
- adapter
- diffusion
- llm
- parameter-efficient-learning
- python
- pytorch
- 6stas00/ml-engineering★ 19,010 · ⑂ 1,246
Machine Learning Engineering Open Book
- pytorch
- slurm
- large-language-models
- llm
- machine-learning
- scalability
- 7arc53/DocsGPT★ 18,272 · ⑂ 2,152
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
- ai
- python
- natural-language-processing
- react
- chatgpt
- docsgpt
- 8NVIDIA/Megatron-LM★ 17,938 · ⑂ 4,530
Ongoing research training transformer models at scale
- large-language-models
- model-para
- transformers
- 9BlinkDL/RWKV-LM★ 14,711 · ⑂ 1,019
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
- attention-mechanism
- deep-learning
- gpt
- gpt-2
- gpt-3
- language-model
- 10PaddlePaddle/PaddleNLP★ 12,977 · ⑂ 3,026
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
- nlp
- embedding
- bert
- ernie
- paddlenlp
- pretrained-models
- Live search
Who is hiring in this space?
I read hiring signals across LinkedIn, GitHub, and the open web - so a topic list becomes a warm outreach list. Try one live.
500 free credits on sign-up, no card needed.
- 11neuml/txtai★ 12,959 · ⑂ 891
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
- vector-search
- txtai
- 12speechbrain/speechbrain★ 11,823 · ⑂ 1,727
A PyTorch-based Speech Toolkit
- speech-recognition
- speech-toolkit
- speaker-recognition
- speech-to-text
- speech-enhancement
- speech-separation
- 13qubvel-org/segmentation_models.pytorch★ 11,739 · ⑂ 1,845
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
- segmentation
- image-processing
- pspnet
- unet
- unet-pytorch
- pytorch
- 14data-privacy-stack/presidio★ 10,924 · ⑂ 1,295
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
- python
- pii
- privacy
- data-anonymization
- de-identification
- data-masking
- 15OpenRLHF/OpenRLHF★ 10,014 · ⑂ 1,019
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
- transformers
- vllm
- large-language-models
- raylib
- reinforcement-learning-from-human-feedback
- reinforcement-learning
- 16FareedKhan-dev/train-llm-from-scratch★ 9,641 · ⑂ 1,327
A straightforward method for training your LLM, from downloading data to generating text.
- gemini
- large-language-models
- llm
- openai
- training
- transformers
- Live search
Turn any brief into a list like this
I run natural-language searches across GitHub, LinkedIn, and the open web. Describe who you want and I'll build the shortlist.
500 free credits on sign-up, no card needed.
- 17xorbitsai/inference★ 9,575 · ⑂ 866
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
- pytorch
- deployment
- llm
- artificial-intelligence
- machine-learning
- whisper
- 18NVlabs/Sana★ 9,112 · ⑂ 731
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
- diffusion
- dit
- pytorch
- sana
- text-to-image-generation
- transformers
- 19intel/ipex-llm★ 8,853 · ⑂ 1,433
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
- pytorch
- llm
- transformers
- gpu
Find Python engineers shipping Transformers
The list above ranks the most-starred public Python repositories tagged with the Transformers topic, drawn from the public GitHub graph. Across 835 matching repositories, the contributors are a tight cluster of engineers with both Python chops and real Transformers experience.
That overlap is rare. Most Python engineers haven’t shipped Transformers, and most Transformers maintainers don’t write Python. The people on this list’s contributor graph are the ones who do both.
Refolk turns this list into a search. Ask for “Python Transformers maintainers hiring” or “Python engineers shipping Transformers in 2025” and Refolk returns a ranked shortlist with the commits, profiles, and projects behind each name.
How this list is built
Last refreshed: Fri, 18 Sep 2026 08:08:27 GMT
Need a more specific search?
Refolk runs natural-language searches across GitHub, LinkedIn, and the open web. Try one of these:
- Python Transformers maintainers hiringRun
- Python Transformers contributors in EuropeRun
- Companies shipping Python TransformersRun
500 free credits on sign-up, no card needed.
Related lists
- Python · Machine learning
- Python · Deep learning
- Python · Computer vision
- Python · Natural language processing
- Python · LLM
- Python · AI agents
- Python · RAG
- Python · Embeddings
See all repository lists.
Or zoom out
Common questions
How are these repositories ranked?
By stars, with forks and recent activity as tiebreakers, read from the public GitHub API. The methodology section above has the details.
How fresh is the data?
The ranking re-renders at least daily. Last refreshed: Fri, 18 Sep 2026 08:08:27 GMT.
Can I find the maintainers and contributors behind these repos?
Yes. Stars rank the projects; I can rank the engineers - maintainers, top contributors, and the people they work with. You start with 500 free credits, no card required.
Can I use this list for hiring?
That's the point. I read hiring signals across GitHub, LinkedIn, and the open web, so a repo list turns into a shortlist of engineers worth talking to.
Try it on the search you came here for
Stop building boolean strings. Just describe the person.
Type one sentence. I plan the search, read GitHub, public LinkedIn and Crunchbase records, and the open web as it is right now, and hand back a ranked list with the reason next to every name.
01Describe them
One plain sentence. Role, city, stack, stage, whatever matters to you.
02I read the web live
GitHub, public LinkedIn and Crunchbase records, the open web. Not a database that went stale last quarter.
03You read the shortlist
Ranked, with the reasoning under every name. Open a profile, ask a follow-up, narrow it down.
- Staff backend engineers in NYC who shipped Rust in production
- Series A fintechs in SF under 50 people, growing headcount this year
- Maintainers of fast-growing Rust web frameworks on GitHub
- No boolean, no filters, no seat to buy. One box.
- Read at search time, so a profile updated yesterday counts today.
- Every step visible as it runs, every name with its reason.
500 free credits on sign-up. No card, no demo call. See real searches.