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Top 23 Deep Learning Open-Source Projects
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Project mention: None of the top 10 projects in GitHub is actually a software project 🤯 | dev.to | 2025-05-10
We see an addition to the AI community with AutoGPT. Along with Tensorflow they represent the AI community in the software category, which is getting relevant (2 out of 8). We can expect in the future to have new AI projects in the top 25 such as Transformers or Ollama (currently top 34 and 36, respectively).
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For those interested in this innovative tool, accessing the GitHub repository at https://github.com/AUTOMATIC1111/stable-diffusion-webui provides further details and instructions on how to utilize its features effectively. Embrace the future of creativity and unlock new possibilities with this enhanced web interface for Stable Diffusion.
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transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Project mention: I have reimplemented Stable Diffusion 3.5 from scratch in pure PyTorch | news.ycombinator.com | 2025-06-14Reference implementations are unmaintained and buggy.
For example https://github.com/huggingface/transformers/issues/27961 OpenAI's tokenizer for CLIP is buggy, it's a reference implementation, it isn't the one they used for training, and the problems with it go unsolved and get copied endlessly by other projects.
What about Flux? They don't say it was used for training, it wasn't, there are bugs with it that break cudagraphs or similar that aren't that impactful. On the other hand, it uses CLIP, and CLIP is buggy, so this is buggy...
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This problem is happening even on Apple MPS with PyTorch in deep learning, where fast math is used by default in many operations, leading to a garbage output. I hit it recently while training an autoregressive image generation model. Here is a discussion by folks that hit it as well:
https://github.com/pytorch/pytorch/issues/84936
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git clone https://github.com/opencv/opencv.git cd opencv git checkout 4.x
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The unchallenged leader in AI development is still Python. and Keras, and robust community support.
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SaaSHub
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nn
🧑🏫 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, ... 🧠
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Project mention: 🔥 Hidden Gems on GitHub That Every Developer (IT/Non-IT) Needs to Explore | dev.to | 2025-05-30
📷 16. Awesome-Prompt-Engineering 📍 https://github.com/dair-ai/Prompt-Engineering-Guide 🧠 Master prompt crafting for ChatGPT, Claude, etc. ✅ Best For: AI creators, marketers, content writers
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ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
⭐️ RAG Flow on GitHub
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Project mention: Open source TTS by Resemble (claiming they are sota) | news.ycombinator.com | 2025-06-11
It's not on the same level in terms of emotion, but I believe the research https://github.com/CorentinJ/Real-Time-Voice-Cloning was based on is mostly oriented around Chinese first (and then English). It seems to work well enough if you and the voice you're cloning speak the same language though I haven't tested it much.
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Project mention: Introdução a Visão Computacional - Parte 2: Detecção de Objetos com YOLO 11 | dev.to | 2025-06-08
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Project mention: Learn Machine Learning with these GitHub repositories | news.ycombinator.com | 2025-01-15
2⃣ [100 Days of ML Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) by Avik Jain
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Tensorflow examples
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Project mention: Show HN: Using YOLO to Detect Office Chairs in 40M Hotel Photos | news.ycombinator.com | 2025-01-25
They did it on their own computer. https://github.com/ultralytics/ultralytics
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That is probably the reason you can't find that much.
*https://coqui.ai/
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Project mention: Predictive Maintenance Systems for Cleaning Robots: Boosting Efficiency Through Smart Tech | dev.to | 2025-06-05
Use Streamlit to visualize and test predictions interactively:
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Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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Project mention: RAG na prática: transformando PDFs em respostas inteligentes com LLMs | dev.to | 2025-06-13
https://www.gradio.app
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
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Index
What are some of the best open-source Deep Learning projects? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | tensorflow | 190,341 |
| 2 | stable-diffusion-webui | 153,364 |
| 3 | transformers | 145,543 |
| 4 | Pytorch | 90,682 |
| 5 | OpenCV | 82,594 |
| 6 | cs-video-courses | 69,017 |
| 7 | Keras | 63,104 |
| 8 | nn | 60,978 |
| 9 | Prompt-Engineering-Guide | 58,077 |
| 10 | ragflow | 54,681 |
| 11 | Real-Time-Voice-Cloning | 54,463 |
| 12 | yolov5 | 54,183 |
| 13 | faceswap | 54,085 |
| 14 | 100-Days-Of-ML-Code | 46,759 |
| 15 | TensorFlow-Examples | 43,659 |
| 16 | ultralytics | 41,812 |
| 17 | ColossalAI | 40,945 |
| 18 | TTS | 40,661 |
| 19 | streamlit | 39,903 |
| 20 | Deep-Learning-Papers-Reading-Roadmap | 39,024 |
| 21 | Made-With-ML | 38,894 |
| 22 | DeepSpeed | 38,867 |
| 23 | gradio | 38,542 |
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