HN · GitHub Signals

OPEN SOURCE, IN FOCUS

loongforge

baidu-baige/loongforge

A modular, scalable, high-performance training framework for LLMs, VLMs, diffusion, and embodied models.

Explore on GitHub ↗

Saved projects stay in this browser. No account needed.

TAKE A CLOSER LOOK

Start with the source.

The repository is the place to check installation steps, supported platforms, the license, and current maintenance before choosing a tool.

Read the documentation on GitHub ↗

Keep exploring

Find projects in the same areas, or search the archive for a different approach.

ANOTHER GOOD FIND

Explore related projects

View the archive ↗

Connected by topics and descriptions.

francislabountyjr

stereo2spatial

Training and inference code for flow-matching DiT models with the objective of converting stereo tracks to spatial (multichannel) tracks

Take a look →
microsoft

lens

Lens is a 3.8B-parameter text-to-image diffusion model that achieves quality competitive with and in several cases surpassing models like FLUX and SD3, while requiring significantly less training compute. Key ideas include maximizing data information density per batch and accelerating convergence. - GitHub - microsoft/Lens: Lens is a 3.8B-parameter text-to-image diffusion model that achieves quality competitive with and in several cases surpassing models like FLUX and SD3, while requiring significantly less training compute. Key ideas include maximizing data information density per batch and accelerating convergence.

Take a look →