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Starred repositories
Python机器学习算法技术博客，有原创干货！有code实践！ 【更多内容敬请关注公众号 "算法进阶"】
Seismic Data Processing using open source software Seismic Unix
< 10000 a href="/datawhalechina/llm-cookbook"> datawhalechina / llm-cookbook
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
A JAX-based deep learning framework for image segmentation using diffusion models.
Minimal reproduction of DeepSeek R1-Zero
yangboz / chatgpt_academic
Forked from ifyz/chatgpt_academic中科院科研工作专用ChatGPT，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，TBC 本地大模型ollama
Janus-Series: Unified Multimodal Understanding and Generation Models
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
《动手学大模型Dive into LLMs》系列编程实践教程
An automatic differentiation based (AD-based) multimodal surface wave inversion tools
An Automatic Differentiation-based Waveform Inversion Framework Implemented in PyTorch.
CIGVis is a tool for geophysical data visualization, which developed by Computational Interpretation Group (CIG)
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
This repo contains a PyTorch implementation with DeepWave for the manuscript FWIGAN: Full-waveform inversion via a physics-informed generative adversarial network
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Enriching MS-COCO with Chinese sentences and tags for cross-lingual multimedia tasks
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.
[ECCV 2024] The official code of paper "Open-Vocabulary SAM".
Seismic Foundation Model