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今日技术情报 · 2026-05-16
joeseesun/qiaomu-anything-to-notebooklm `Python` ⭐今日+438
阅读全文 →今日技术情报 · 2026-05-15
NVIDIA-AI-Blueprints/video-search-and-summarization `Python` ⭐今日+62
阅读全文 →今日技术情报 · 2026-05-14
CodebuffAI/codebuff `TypeScript` ⭐今日+188
阅读全文 →今日技术情报 · 2026-05-13
gemini-cli `TypeScript` ⭐今日+105
阅读全文 →今日技术情报 · 2026-05-12
gstack `TypeScript` ⭐今日+918
阅读全文 →今日技术情报 · 2026-05-11
hcengineering/platform `TypeScript` ⭐今日+163
阅读全文 →今日技术情报 · 2026-05-10
HKUDS/ViMax `Python` ⭐今日+108
阅读全文 →今日技术情报 · 2026-05-09
colbymchenry/codegraph `TypeScript` ⭐今日+161
阅读全文 →今日技术情报 · 2026-05-08
VectifyAI/PageIndex `Python` ⭐今日+943
阅读全文 →今日技术情报 · 2026-05-07
kyutai-labs/pocket-tts `Python` ⭐今日+49
阅读全文 →今日技术情报 · 2026-05-06
PriorLabs/TabPFN `Python` ⭐今日+57
阅读全文 →今日技术情报 · 2026-05-05
raullenchai/Rapid-MLX `Python` ⭐今日+200
阅读全文 →今日技术情报 · 2026-05-04
cocoindex-io/cocoindex `Python` ⭐今日+163
阅读全文 →今日技术情报 · 2026-05-03
tirth8205/code-review-graph `Python` ⭐今日+274
阅读全文 →今日技术情报 · 2026-05-02
Lightricks/LTX-2 `Python` ⭐今日+30
阅读全文 →今日技术情报 · 2026-05-01
codexu/note-gen `TypeScript` ⭐今日+251
阅读全文 →今日技术情报 · 2026-04-30
warpdotdev/warp `Rust` ⭐今日+12,822
阅读全文 →今日技术情报 · 2026-04-29
musistudio/claude-code-router `TypeScript` ⭐今日+96
阅读全文 →今日技术情报 · 2026-04-28
penpot/penpot `Clojure` ⭐今日+166
阅读全文 →今日技术情报 · 2026-04-27
trycua/cua `HTML` ⭐今日+182
阅读全文 →今日技术情报 · 2026-04-26
Universal-Commerce-Protocol/ucp `Python` ⭐今日+26
阅读全文 →今日技术情报 · 2026-04-25
microsoft/typescript-go `Go` ⭐今日+38
阅读全文 →今日技术情报 · 2026-04-24
huggingface/ml-intern `Python` ⭐今日+720
阅读全文 →今日技术情报 · 2026-04-23
Stirling-Tools/Stirling-PDF `TypeScript` ⭐今日+315
阅读全文 →今日技术情报 · 2026-04-22
fastmcp `Python` ⭐今日+53
阅读全文 →今日技术情报 · 2026-04-21
mnfst/manifest `TypeScript` ⭐今日+399
阅读全文 →今日技术情报 · 2026-04-20
onlook-dev/onlook `TypeScript` ⭐今日+49
阅读全文 →今日技术情报 · 2026-04-19
DeepGEMM `Cuda` ⭐今日+31
阅读全文 →今日技术情报 · 2026-04-18
lyra `Python` ⭐今日+146
阅读全文 →今日技术情报 · 2026-04-17
EvoMap/evolver `JavaScript` ⭐今日+812
阅读全文 →今日技术情报 · 2026-04-15
Tracer-Cloud/opensre `Python` ⭐今日+137
阅读全文 →今日技术情报 · 2026-04-14
OmniRoute `TypeScript` ⭐今日+151
阅读全文 →今日技术情报 · 2026-04-13
rustfs/rustfs `Rust` ⭐今日+182
阅读全文 →今日技术情报 · 2026-04-12
ralph `TypeScript` ⭐今日+112
阅读全文 →今日技术情报 · 2026-04-11
Scrapling `Python` ⭐今日+511
阅读全文 →今日技术情报 · 2026-04-10
z-lab/dflash `Python` ⭐今日+115
阅读全文 →今日技术情报 · 2026-04-06
RAG-Anything `Python` ⭐今日+99
阅读全文 →今日技术情报 · 2026-04-05
💡 洞见：这不是又一个代码补全Agent，而是通过将“代码建议”扩展为“代码执行沙盒”，解决了当前Copilot、Cursor等工具因缺乏安全、隔离的执行环境而无法验证、调试其生成代码的致命缺陷。相比Claude Code或GPT Engineer需要开发者手动复制代码到终端运行，Goose通过内置的沙盒（支持安装依赖、运行测试）和文件系统操作能力，让LLM
阅读全文 →今日技术情报 · 2026-04-04
mlx-vlm `Python` ⭐今日+499
阅读全文 →今日技术情报 · 2026-04-03
PraisonAI `Python` ⭐今日+107
阅读全文 →今日技术情报 · 2026-04-02
NVIDIA/Model-Optimizer `Python` ⭐今日+25
阅读全文 →今日技术情报 · 2026-04-01
google-research/timesfm `Python` ⭐今日+495
阅读全文 →今日技术情报 · 2026-03-31
microsoft/agent-lightning `Python` ⭐今日+251
阅读全文 →今日技术情报 · 2026-03-30
luongnv89/claude-howto `Python` ⭐今日+1165
阅读全文 →今日技术情报 · 2026-03-28
SakanaAI/AI-Scientist-v2 `Python` ⭐今日+143
阅读全文 →今日技术情报 · 2026-03-26
trustgraph-ai/trustgraph `Python` ⭐今日+41
阅读全文 →今日技术情报 · 2026-03-24
tinygrad/tinygrad `Python` ⭐今日+56
阅读全文 →今日技术情报 · 2026-03-22
google-labs-code/stitch-skills `TypeScript` ⭐今日+107
阅读全文 →今日技术情报 · 2026-03-21
astral-sh/ty `Python` ⭐今日+147
阅读全文 →今日技术情报 · 2026-03-20
alibaba/OpenSandbox `Python` ⭐今日+195
阅读全文 →今日技术情报 · 2026-03-19
unslothai/unsloth `Python` ⭐今日+1005
阅读全文 →今日技术情报 · 2026-03-17
TradingAgents `Python` ⭐今日+167
阅读全文 →今日技术情报 · 2026-03-16
GitNexus `TypeScript` ⭐今日+451
阅读全文 →今日技术情报 · 2026-03-15
badlogic/pi-mono `TypeScript` ⭐今日+385
阅读全文 →今日技术情报 · 2026-03-14
lightpanda-io/browser `Zig` ⭐今日+2093
阅读全文 →今日技术情报 · 2026-03-13
anthropics/skills `Python` ⭐今日+1177
阅读全文 →今日技术情报 · 2026-03-12
fishaudio/fish-speech `Python` ⭐今日+313
阅读全文 →今日技术情报 · 2026-03-11
bytedance/deer-flow `Python` ⭐今日+1413
阅读全文 →今日技术情报 · 2026-03-10
karpathy/nanochat `Python` ⭐今日+355
阅读全文 →今日技术情报 · 2026-03-09
今日重点：AI规划从单体LLM转向多代理分层架构，图像修复模型路由引入超球面几何约束，RSS协议技术价值在算法推荐时代被重新评估。
阅读全文 →Beyond Accuracy: Evaluating Emotion Analysis Models Holistically
Evaluating emotion analysis models is more complex than traditional classification tasks. Standard metrics like accuracy and F1-score, while useful, don’t tell the full story. I...
阅读全文 →Deploying Private AI with NVIDIA NIM: Enterprise-Ready Microservices
As enterprises increasingly recognize the need for private AI deployments—keeping sensitive data on-premise while leveraging cutting-edge generative AI capabilities—NVIDIA NIM (...
阅读全文 →RAG vs Fine-tuning: Choosing the Right Approach for LLM Applications
When building applications with Large Language Models (LLMs), one of the fundamental decisions developers face is choosing between Retrieval-Augmented Generation (RAG) and fine-...
阅读全文 →Applying Optimal Transport Theory to Emotion Analysis in NLP
Optimal Transport (OT) theory, with roots in 18th-century mathematics, has found remarkable applications in modern machine learning, particularly in generative modeling and dist...
阅读全文 →Challenges and Advances in Hierarchical Emotion Analysis
Emotion analysis has evolved significantly over the past decade, moving from simple binary sentiment classification to fine-grained emotion recognition across multiple dimension...
阅读全文 →portfolio
Build a Generative AI Medical Device Training Assistant with NVIDIA NIM - NVIDIA Developer
A guide on using NVIDIA NIM microservices to build generative AI medical device training assistants that provide real-time, hands-free answers to improve clinical efficiency.
阅读全文 →Developing an AI-Powered Tool for Automatic Citation Validation Using NVIDIA NIM
Learn how to leverage NVIDIA NIM microservices to develop automatic citation validation tools that enhance the efficiency of scientific literature review processes.
阅读全文 →Fine-grained Emotion Analysis: A Survey - arXiv
Comprehensive survey on fine-grained emotion analysis, covering recent advances in hierarchical emotion classification and evaluation metrics for emotion understanding systems.
阅读全文 →Retrieval-Augmented Generation: A Survey - arXiv
A comprehensive survey on Retrieval-Augmented Generation (RAG), exploring its principles, architectures, and applications in enhancing LLM capabilities.
阅读全文 →Private Large Language Models - A Survey on Private Deployment of LLMs
Survey on private deployment of large language models, covering security considerations, on-premise solutions, and privacy-preserving techniques for enterprise AI.
阅读全文 →NVIDIA NIM: Enterprise-Ready Microservices for Generative AI - NVIDIA
Official documentation on NVIDIA NIM microservices, providing enterprise-ready containers for deploying generative AI models with optimized performance and security.
阅读全文 →将“softmax+交叉熵”推广到多标签分类问题
2023/10/10
阅读全文 →Building LLM Applications with Prompt Engineering - NVIDIA
Comprehensive guide on using prompt engineering techniques to build LLM-based applications, covering text generation, large-scale document analysis, and chatbot assistants.
阅读全文 →Mastering LLM Techniques: LLMOps - NVIDIA Developer Blog
Deep dive into LLMOps concepts, exploring how to manage and optimize the lifecycle of large language models, including training, evaluation, and deployment.
阅读全文 →AI Chatbot with Retrieval-Augmented Generation - NVIDIA
Learn how to build an AI chatbot powered by large language models that can accurately answer questions about enterprise data using RAG techniques.
阅读全文 →Building RAG Agents with LLMs - NVIDIA Training
Comprehensive course on building Retrieval-Augmented Generation agents using large language models for enhanced question-answering systems.
阅读全文 →publications
Emotional Earth Mover’s Distance for Fine-Grained Hierarchical Emotion Analysis
Effective emotion understanding has become increasingly important in developing human-centered interactive systems. We propose Emotional Earth Mover's Distance (EEMD), a no...
阅读全文 →Citation: Yu H T, Li D, Kang X. Emotional Earth Mover's Distance for Fine-Grained Hierarchical Emotion Analysis[C]//International Conference on Advanced Data Mining and Applications. Singapore: Springer Nature Singapore, 2025: 296-310. https://link.springer.com/chapter/10.1007/978-981-95-3453-1_20