TensorFlow
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- Researchers fix precision bugs in Softmax and cross-entropy
A paper titled “A Fix for Softmax and Cross-Entropy” reports two floating-point defects in standard Softmax and cross-entropy implementations used by PyTorch, JAX, TensorFlow and other systems. The issues can prematurely zero the correct-class gradient in confident classifiers and leave residual gradients when a student model exactly matches a teacher during knowledge distillation. The proposed changes preserve the original mathematical definitions and avoid requiring higher floating-point precision, while experiments reported smoother training and improved stability in modular-arithmetic and distillation tasks.
机器之心 · 🔥 0 - Hugging Face Transformers tops GitHub Trending
Hugging Face's Transformers library appeared on GitHub Trending's daily list. The project positions itself as the model-definition framework for state-of-the-art text, vision, audio, video and multimodal models, for both inference and training, and its documentation says there are over 1M Transformers model checkpoints on the Hugging Face Hub. It says the library interoperates with training frameworks such as Axolotl, Unsloth, DeepSpeed, FSDP and PyTorch-Lightning, and with inference engines and modeling libraries including vLLM, SGLang, TGI, llama.cpp and mlx, and requires Python 3.10+ and PyTorch 2.6+.
GitHub Trending(每日) · 🔥 0 - TensorFlow appears on GitHub Trending
TensorFlow is an end-to-end open-source machine learning platform originally developed by researchers and engineers on the Machine Intelligence team at Google Brain to advance machine learning and neural network research. It offers stable Python and C++ APIs plus an ecosystem of tools, libraries and community resources, with installation via pip (including CUDA GPU support), Docker containers or source builds, along with a CPU-only tensorflow-cpu package and tf-nightly builds. The project is licensed under Apache License 2.0 and showed up in the GitHub Trending daily list.
GitHub Trending(每日) · 🔥 0
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