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Top 23 Pytorch Open-Source Projects
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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.
Sources: Transformers 5.15.0 and Muse Glimmer model card.
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AppSignal
Monitoring that respects your time & budget. APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product.
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ComfyUI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Project mention: ComfyUI ในวันที่ AI สร้างภาพ วิดีโอ และโมเดล 3 มิติ ได้ด้วยการลากกล่องต่อกัน | dev.to | 2026-09-11[3] Comfy-Org, "ComfyUI: The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface" (เข้าถึง 11 ก.ย. 2026), https://github.com/Comfy-Org/ComfyUI
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Project mention: Paul Graham on X: if I were 17. I'd learn how to build LLMs from scratch | news.ycombinator.com | 2026-08-24
I agree with mostly all of this, but personally I wrote a toy LLM almost 5 years ago and while it never saw much use outside of boring my wife with a shitty command line demo with glee it did help me understand how they worked and how to apply them, played a lot with JAX and pytorch, ended up building a ghetto version of MCP and an LLM-Pool to proxy requests to my baby local models and so I didn't struggle to see the evolution of openrouter and MCP agentic workflows. The same way i'm really glad when I was younger I built a bad webserver by myself, a really painful SQLx type database, etc etc etc - none of these things led me to developing for Nginx or Oracle nor will knowing JAX get me a job at an AI research lab, but I do have a lot of depth in understanding how the technology works so that the flavors on top of them are easy to digest and make more use of immediately, and I think the same can be said for engineers coming into the field - if it's a spooky LLM box you aren't going to be squeezing the same amount of juice as the guy that knows how they work inside and out so having at least the understanding of a _babys first LLM_ is going to get you miles ahead of people who don't.
For anyone who wants to dork around there is https://github.com/rasbt/LLMs-from-scratch which is something amazing that I think anyone who wants to engineer things around LLMs should at least blast through and read.
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Project mention: Can Qwen 3.8 running on your laptop really replace Claude Opus for Agentic coding? | dev.to | 2026-09-11
I use my tool LlamaStash to orchestrate the model and manage the sessions. It is a fast TUI, CLI, daemon, and OpenAI-compatible proxy for running local LLMs via backends like llama.cpp and vLLM. It has a lot of features that make it easy to run local models and manage them, like multiple backends, preset files, named launches, auto start etc.
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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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Kargo
Stop Scripting Promotions. Start Shipping with Kargo. Kargo automates promotion across dev, staging, and prod with approval gates and verification. Open source, built by the team behind Argo CD. Download now.
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ultralytics
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Project mention: Transforming Unstructured Retail Catalogs into Structured Data using AI | dev.to | 2026-04-10Before reading any text, we run the raw catalog pages through a custom object detection model (based on YOLO architecture). This model is trained to identify the bounding boxes of individual product regions, allowing us to crop the giant page into smaller, isolated product images.
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yolov5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Project mention: Teaching AI to Read Emotions: Science, Challenges, and Innovation Behind Facial Emotion Detection with YOLOv11 on Raspberry Pi | dev.to | 2025-11-23Ultralytics YOLO Documentation
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Project mention: Benchmarking ASR & Essential Open-Source CV Tools for Local AI | dev.to | 2026-06-09
Source: https://github.com/roboflow/supervision
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Project mention: My Journey to a reliable and enjoyable locally hosted voice assistant | news.ycombinator.com | 2026-03-16
actually the hardest part of a locally hosted voice assistant isn't the llm. it's making the tts tolerable to actually talk to every day.
the core issue is prosody: kokoro and piper are trained on read speech, but conversational responses have shorter breath groups and different stress patterns on function words. that's why numbers, addresses, and hedged phrases sound off even when everything else works.
the fix is training data composition. conversational and read speech have different prosody distributions and models don't generalize across them. for self-hosted, coqui xtts-v2 [1] is worth trying if you want more natural english output than kokoro.
btw i'm lily, cofounder of rime [2]. we're solving this for business voice agents at scale, not really the personal home assistant use case, but the underlying problem is the same.
[1] https://github.com/coqui-ai/TTS
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Ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Project mention: GSoC 2026 Predictions: 30 NEW AI/ML/Security Organizations You Should Start Contributing to NOW! | dev.to | 2026-02-06Main: https://github.com/ray-project/ray ⭐ 34k+
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DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Project mention: AWS SageMaker HyperPod: Distributed Training for Foundation Models at Scale | dev.to | 2026-01-16DeepSpeed Optimization Library - An open-source library compatible with HyperPod that offers advanced pipeline and system optimizations for LLM training.
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pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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VoxCPM
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
Project mention: Rust RAG, Tokenizer-Free TTS (VoxCPM2), & Project NOMAD: Local AI & Offline Deployments | dev.to | 2026-05-30Source: https://github.com/OpenBMB/VoxCPM
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Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Project mention: Picking a text-to-image API for marketing posters and social ads: style control, upscale | dev.to | 2026-08-02Real-ESRGAN, open-source super-resolution: https://github.com/xinntao/Real-ESRGAN
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diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Project mention: GLM-Image: The First Open-Source Industrial-Grade Autoregressive Image Generation Model | dev.to | 2026-01-13pip install "sglang[diffusion] @ git+https://github.com/sgl-project/sglang.git#subdirectory=python" pip install git+https://github.com/huggingface/transformers.git pip install git+https://github.com/huggingface/diffusers.git
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Project mention: I ported JPEG AI to Apple silicon—and the first benchmark was mostly startup | dev.to | 2026-09-10
For the fixed network topology, I use Netron to open an ONNX file such as apple/Models/onnx/tools_2/model_y/analysis.onnx. Netron shows operators, weights, shapes, and connections. It does not show the values from a particular inference. The app's tensor export provides that second half.
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SaaSHub
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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).
Pytorch discussion
Pytorch related posts
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ComfyUI ในวันที่ AI สร้างภาพ วิดีโอ และโมเดล 3 มิติ ได้ด้วยการลากกล่องต่อกัน
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Glq a port trellis quantization of large language models as a vLLM plugin
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vLLM 0.29.0: Model Runner V2 is now the default
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Installing ComfyUI in any Linux distro (quick and easy)
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Inside nano-vLLM: What an RTX 3090 Reveals About LLM Serving
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I tried to build an AI anime on a 16GB MacBook. Here is exactly where it broke
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vLLM v0.28.0: the breaking change small GPU users must read
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A note from our sponsor - SaaSHub
www.saashub.com | 13 Sep 2026
Index
What are some of the best open-source Pytorch projects? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | transformers | 165,281 |
| 2 | stable-diffusion-webui | 164,896 |
| 3 | ComfyUI | 132,277 |
| 4 | LLMs-from-scratch | 104,670 |
| 5 | vllm | 91,420 |
| 6 | nn | 67,428 |
| 7 | Keras | 64,319 |
| 8 | ultralytics | 61,510 |
| 9 | Real-Time-Voice-Cloning | 60,124 |
| 10 | yolov5 | 58,003 |
| 11 | supervision | 49,974 |
| 12 | Made-With-ML | 49,458 |
| 13 | TTS | 45,892 |
| 14 | Ray | 43,789 |
| 15 | DeepSpeed | 43,091 |
| 16 | GFPGAN | 37,629 |
| 17 | pytorch-image-models | 37,138 |
| 18 | VoxCPM | 37,032 |
| 19 | MockingBird | 36,910 |
| 20 | Real-ESRGAN | 36,375 |
| 21 | diffusers | 34,505 |
| 22 | netron | 33,457 |
| 23 | mmdetection | 32,881 |
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