Kolmogorov Arnold Networks
☆16,334Jan 19, 2025Updated last year
Alternatives and similar repositories for pykan
Users that are interested in pykan are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).☆4,655Aug 1, 2024Updated 2 years ago
- A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and mor…☆3,292Aug 17, 2026Updated last week
- ☆753May 24, 2024Updated 2 years ago
- Mamba SSM architecture☆18,783Jul 22, 2026Updated last month
- This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing th…☆921Apr 8, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)☆493Jun 20, 2024Updated 2 years ago
- The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling☆726Nov 25, 2024Updated last year
- ☆350May 3, 2024Updated 2 years ago
- Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.☆417May 13, 2024Updated 2 years ago
- LLM training in simple, raw C/CUDA☆30,889Jun 26, 2025Updated last year
- Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments☆297Apr 9, 2025Updated last year
- Fast and memory-efficient exact attention☆24,794Updated this week
- The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoi…☆54,770Sep 18, 2024Updated last year
- [ICLR2025] Kolmogorov-Arnold Transformer☆846Mar 23, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implem…☆530Aug 20, 2026Updated last week
- 🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, fee…☆67,366Jan 22, 2026Updated 7 months ago
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆36,220Updated this week
- TKAN: Temporal Kolmogorov-Arnold Networks☆228Dec 16, 2024Updated last year
- Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.☆261Sep 5, 2024Updated last year
- The official Meta Llama 3 GitHub site☆29,244Jan 26, 2025Updated last year
- [ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model☆3,900Feb 13, 2025Updated last year
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆164,565Updated this week
- A playbook for systematically maximizing the performance of deep learning models.☆30,301Jun 18, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained mode…☆19,777May 30, 2026Updated 2 months ago
- PyTorch Kolmogorov-Arnold Networks (spline, Legendre, Chebyshev, convolutional) with quantisation, CUDA, and Integrated-Gradients interpr…☆190Jul 13, 2026Updated last month
- Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities☆22,196Updated this week
- Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"☆8,690May 31, 2024Updated 2 years ago
- CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image☆34,240Mar 25, 2026Updated 5 months ago
- [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.☆25,005Aug 12, 2024Updated 2 years ago
- Open-Sora: Democratizing Efficient Video Production for All☆29,317Apr 9, 2026Updated 4 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆90,314Updated this week
- 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.☆34,401Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆37,105Updated this week
- Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Py…☆25,486Aug 2, 2026Updated 3 weeks ago
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆43,018Updated this week
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆21,604Updated this week
- Simple, minimal implementation of the Mamba SSM in one file of PyTorch.☆2,966Mar 8, 2024Updated 2 years ago
- KAN for Vision Transformer☆256Oct 7, 2024Updated last year
- RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable)…☆14,686Updated this week