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Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
2025 & 2026 New grad full-time roles in SWE, Quant, and PM.
PyTorch code and models for VJEPA2 self-supervised learning from video.
🚀 Text2Grad: Converting natural language feedback into gradient signals for precise model optimization. Revolutionizing RLHF with span-level rewards and targeted improvements across code generation…
Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
LLM-Merging: Building LLMs Efficiently through Merging
⛽️「算法通关手册」:一本系统讲解算法与数据结构、涵盖 LeetCode 题解的中文学习手册
Sample codes for training of dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraints (DSOVT) by Wang et al.
主要记录大语言大模型(LLMs) 算法(应用)工程师相关的知识及面试题
Simple Python implementation of Shallow Water Equations
GEOM: Energy-annotated molecular conformations
[CVPR 2024] Official repository for "MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model"
Detection of remote homology by comparison of protein language model representations
Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 2021)
A code-first agent framework for seamlessly planning and executing data analytics tasks.