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The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
SGLang is a fast serving framework for large language models and vision language models.
An awesome & curated list of best LLMOps tools for developers
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
Text-audio foundation model from Boson AI
"RAG-Anything: All-in-One RAG Framework"
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Interactive Pytorch forward pass visualization in notebooks
AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.
MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.
TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.
[ICML 2025] Retraining-Free Merging of Sparse MoE via Hierarchical Clustering
ACE-Step: A Step Towards Music Generation Foundation Model
Turn any website into clean data pipelines & structured APIs in minutes!
A most Frontend Collection and survey of vision-language model papers, and models GitHub repository. Continuous updates.
collection of diffusion model papers categorized by their subareas
Visualizer for neural network, deep learning and machine learning models
[JCMS 2024] This is the official repository for the paper, MidiBERT-Piano: Large-scale Pre-training for Symbolic Music Understanding.
Collection of AWESOME vision-language models for vision tasks
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
[ICLRβ24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
Meaningful titles for tabs and PDF downloads! Also supports tab search.
A collection of AWESOME things about mixture-of-experts
Awesome LLM compression research papers and tools.
a public domain dataset of EEG recordings for music imagery information retrieval
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Python packaging and dependency management made easy