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d-opsd-code

xingzhejun/d-opsd-code

The code for paper "Learning from the Self-future:On-policy Self-distillation for dLLMs"

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hrtan

fastmix

[ICLR-2026] The PyTorch Implementation of FastMix. The algorithms are based on our paper: "Fast Data Mixture Optimization via Gradient Descent". FastMix is designed to rapidly identify optimal data mixing ratios for large language models (LLMs). - GitHub - hrtan/fastmix: [ICLR-2026] The PyTorch Implementation of FastMix. The algorithms are based on our paper: "Fast Data Mixture Optimization via Gradient Descent". FastMix is designed to rapidly identify optimal data mixing ratios for large language models (LLMs).

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justvugg

nanoeuler

GPT-2-style LLM built from scratch in C/CUDA with hand-written backprop, BPE tokenizer, FlashAttention, pretraining, and SFT.

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kql11

deep-vrm

This is the official code of the paper (ICML 2026) "Deep Residual Injection for Full-Spectrum Forensic Signal Perception in Multimodal Large Language Models".

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