Type a name, or just describe what you need. Results blend keyword and meaning-based search. 17 matches, each with an EU availability status.
App · The Atlantic
Searchable Atlantic database showing which music and videos were used to train AI models such as Suno and Udio.
Research · Google
Google research training framework alternating wake and sleep phases for memory consolidation and self-generated practice.
Library · Lightricks
Official Lightricks package for training and fine-tuning LTX-2 video models, including LoRAs for characters, effects and styles.
Library · Ostris
Open-source GUI and CLI training suite for fine-tuning image and video diffusion models, including LoRAs, on consumer GPUs.
Research
Single-step GRPO training framework for aligning video diffusion models with human preferences, tested on Wan2.1 1.3B–14B.
App · Krea AI
LoRA training on Krea's platform to teach Krea 2 a custom style, character, face or product from a few images.
Search framework from Harvard/MIT coupling forward evolutionary candidate search with backward goal decomposition.
Library · Allen Institute for AI
Ai2's open-source PyTorch library of building blocks and training scripts for OLMo language models, including MoE training.
Library · Z.ai
Open-source LLM RL post-training framework connecting Megatron training with SGLang rollout, used for Z.ai's GLM models.
App · Unsloth AI
Open-source desktop and web app for running, fine-tuning and serving open models locally, with agent and search tools.
Research · MIT
MIT research showing a frontier LLM can read and write another neural network's raw weights without gradient descent.
Model · Baidu
Baidu's open-weights 280B-parameter sparse MoE base model (14B active) with 1M-token context, released pre-post-training.
Research · ByteDance
ByteDance research method for post-training image diffusion models using on-policy self-distillation from reward signals.
ByteDance research method for few-step diffusion distillation, adding a one-line projection to the DMD update.
Model · Cactus Compute
Tiny 29M–121M parameter on-device model for tool calling and extraction, shipped as an 8–29 MB binary.
Library
Embodied harness from NUS Show Lab that lets vision-language models control robots via discrete semantic action units.
Model · Cactus
Tiny on-device tool-calling and extraction model from Cactus, shipped as an 8–29 MB binary for phones, wearables and microcontrollers.
