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ML_course
Publicdisco
PublicDISCO is a code-free and installation-free browser platform that allows any non-technical user to collaboratively train machine learning models without sharing any private data.grad-norm-smooth
PublicOfficial implementation of "Gradient-Normalized Smoothness for Optimization with Approximate Hessians"llm-optimizer-benchmark
PublicBenchmarking Optimizers for LLM Pretrainingllm-baselines
PublicCoMiGS
PublicTiMoE
Publicgetting-started
PublicOptML_course
Publicfineweb2-hq
Publicschedules-and-scaling
Publicpowersgd
PublicPractical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727CoBo
Public- Exploration on-device self-supervised collaborative fine-tuning of large language models with limited local data availability, using Low-Rank Adaptation (LoRA). We introduce three distinct trust-weighted gradient aggregation schemes: weight similarity-based, prediction similarity-based and validation performance-based.
error-feedback-SGD
PublicSGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847REQ
PublicCoTFormer
Publicgetting-started-lauzhack
PublicDenseFormer
PublicDoGE
Publiclandmark-attention
Publicpam
Publicghost-noise
PublicoptML-pku
Publiccollaborative-attention
Publiceasy-summary
Publicrelaysgd
Publicepfml-utils
Public