UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation
Paper: https://
arxiv.org/pdf/2506.09284
v1.pdf
…
Page: https://
unsup-affordance.github.io
Code: https://
github.com/TangYihe/unsup
-affordance
… (soon)
OPEN SOURCE
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Unsupervised Affordance Distillation for Robotic Manipulation Generalization
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Quicksort Implementation in Elixir Programming Language
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you can do similar stuff in elixir which is kinda half-way python (maybe ruby) and haskell (b/c built on erlang) # Base case: empty list def quicksort([]), do: [] # Recursive case: split & sort def quicksort([pivot | rest]) do lesser = Enum.filter(rest, &(&1 <
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Fast.ai: A Powerful Foundation for Dedicated AI Learners
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http://
fast.ai can be a pretty amazing foundation for folks willing to put in the time and effort to learn, like @Suhail
, who worked really really hard. -
DeepSeek’s nano-vllm: lightweight Python vLLM implementation
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DeepSeek engineer Xingkai Yu just dropped nano-vllm — a lightweight vLLM reimplementation from scratch. It's a clean implementation under 1,200 lines of Python code with comparable inference speeds to vLLM. Perfect for learning or building lean! Project:
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Stable Diffusion 3.5 Models Now Available for Commercial Use
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The optimized models are now available for commercial and non-commercial use under the permissive Stability AI Community License. Weights and code @Huggingface
: https://
huggingface.co/collections/st
abilityai/stable-diffusion-35-671785cca799084f71fa2838
… @Github
: https://
github.com/NVIDIA/TensorR
T/tree/release/10.11/demo/Diffusion
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KerasHub: 70+ Pretrained Models Supporting JAX, TF, PyTorch
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KerasHub is a collection of over 70 popular pretrained model architectures — LLMs, VLMs, image generation models, etc — that work with JAX, TF, PyTorch. They all support HuggingFace checkpoints — you can load any HF model with them for the corresponding architecture.
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Hundreds of AI Model Checkpoints from Scaling Research
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I now realized I probably have dozens of models there (maybe a hundred?) due to a dump of many checkpoints from one scaling paper, plus ul2 and flan-t5/ule series. And also umt5.
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Community Release: New Models and Fine-Tuning Resources Launched
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Congratulations on the release – love the models on the hub and the fine-tuning notebooks, looking forward to how the community will use it!
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Declarative Pipelines Goes Open Source for Apache Spark
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Declarative Pipelines is going open source! We’re excited to bring a proven standard for building reliable, scalable data pipelines with Apache Spark™ to the community. Built with openness and composability in mind, Declarative Pipelines allows developers to define what their