KevinBreet
My name is Zihao Guo. Graduate student in College of intelligence and computing, Tianjin University. Research interests: CV.
Tianjin
KevinBreet's Stars
harvardnlp/annotated-transformer
An annotated implementation of the Transformer paper.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
bojone/papers.cool
Cool Papers - Immersive Paper Discovery
NVlabs/CTG
NUS-HPC-AI-Lab/Neural-Network-Parameter-Diffusion
We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters
baaivision/Emu
Emu Series: Generative Multimodal Models from BAAI
firechecking/CleanTransformer
an implementation of transformer, bert, gpt, and diffusion models for learning purposes
opendilab/LMDrive
[CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models
OpenGVLab/LLaMA-Adapter
[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
Alpha-VLLM/LLaMA2-Accessory
An Open-source Toolkit for LLM Development
csuhan/OneLLM
[CVPR 2024] OneLLM: One Framework to Align All Modalities with Language
hiyouga/LLaMA-Factory
Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)
wayveai/Driving-with-LLMs
PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"
LlamaFamily/Llama-Chinese
Llama中文社区,Llama3在线体验和微调模型已开放,实时汇总最新Llama3学习资料,已将所有代码更新适配Llama3,构建最好的中文Llama大模型,完全开源可商用
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
rllab-snu/RNR-Map
Official Github repository for "Renderable Neural Radiance Map for Visual Navigation". (CVPR 2023)
cvg/nice-slam
[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
facebookresearch/Replica-Dataset
The Replica Dataset v1 as published in https://arxiv.org/abs/1906.05797 .
fuzhengwei/itstack-demo-design
:art: 《重学Java设计模式》是一本互联网真实案例实践书籍。以落地解决方案为核心,从实际业务中抽离出,交易、营销、秒杀、中间件、源码等22个真实场景,来学习设计模式的运用。欢迎关注小傅哥,微信(fustack),公众号:bugstack虫洞栈,博客:https://bugstack.cn