Hacker News with Generative AI: PyTorch

Using uv with PyTorch (astral.sh)
The PyTorch ecosystem is a popular choice for deep learning research and development. You can use uv to manage PyTorch projects and PyTorch dependencies across different Python versions and environments, even controlling for the choice of accelerator (e.g., CPU-only vs. CUDA).
PyTorch 101: Understanding Graphs, Automatic Differentiation and Autograd (digitalocean.com)
PyTorch is one of the foremost python deep learning libraries out there. It’s the go to choice for deep learning research, and as each days passes by, more and more companies and research labs are adopting this library.
PyTorch Native Architecture Optimization: Torchao (pytorch.org)
We’re happy to officially launch torchao, a PyTorch native library that makes models faster and smaller by leveraging low bit dtypes, quantization and sparsity. torchao is an accessible toolkit of techniques written (mostly) in easy to read PyTorch code spanning both inference and training. This blog will help you pick which techniques matter for your workloads.
Show HN: LeanRL: Fast PyTorch RL with Torch.compile and CUDA Graphs (github.com/pytorch-labs)
LeanRL is a lightweight library consisting of single-file, pytorch-based implementations of popular Reinforcement Learning (RL) algorithms.
PyTorch 2.4 Now Supports Intel GPUs for Faster Workloads (pytorch.org)
FlexAttention: The Flexibility of PyTorch with the Performance of FlashAttention (pytorch.org)
LightRAG: The PyTorch Library for Large Language Model Applications (github.com/SylphAI-Inc)
Official PyTorch Documentary Revisits Its Past, and Its Future (thenewstack.io)
Build and train GPT-2 from scratch using PyTorch (differ.blog)
LeRobot: Machine Learning for Real-World Robotics in PyTorch (github.com/huggingface)
What's the best PyTorch model visualization tool? (ycombinator.com)