Name: Haochen Li
Type: User
Company: Institute of Software, Chinese Academy of Science, University of Chinese Academy of Science
Bio: Haochen Li, Institute of Software, University of Chinese Academy of Science
Location: Beijing,China
Haochen Li's Projects
18-19Spring Computer organization experiment UCAS
19-20Autumn Artificial Intelligence assignment UCAS
19-20Spring Compiler princilple experiment UCAS
19-20Autumn Computer_architecture experiment UCAS
19-20Spring Computer_network experiment UCAS
19-20Autumn Machine learning assignment UCAS
19-20Autumn Operation_system experiment UCAS
21-22春 智能计算系统实验 **科学院大学
21-22春季 人工智能学院强化学习大作业 **科学院大学
A unified architecture for multimodal multi-task robotic policy learning.
This repo provides the source code for "Cross-Domain Adaptive Teacher for Object Detection".
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
An experimental open-source attempt to make GPT-4 fully autonomous.
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能
pytorch implementation for Contrastive Adaptation Network
A DETR-style framework for open-vocabulary detection (OVD). CVPR 2023
Pytorch implementation of "Learning Domain-Aware Detection Head with Prompt Tuning" (NeurIPS 2023)
A Collection of Domain Adaptation for Object Detection Material
《深度学习入门-基于Python的理论与实现》,包含源代码和高清PDF(带书签);慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》;《菜菜的机器学习sklearn》
This is a reconstruction of previous repository(rl-algorithms).
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理(紫龙书)第2版习题答案。