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yaassin12/DeepSeek-V4-Pro-App: DeepSeek V4 Pro: Advanced AI desktop app. Features: 1.6T MoE architecture, 1M token context window, Engram memory. Pro coding agent, Think Mode (High/Max), repo-level reasoning, complex bug fixing. Real-time web search, local API key storage, cross-file analysis, low-latency streaming interface.

by yaassin12

DeepSeek V4 Pro: Advanced AI desktop app. Features: 1.6T MoE architecture, 1M token context window, Engram memory. Pro coding agent, Think Mode (High/Max), repo-level reasoning, complex bug fixing. Real-time web search, local API key storage, cross-file analysis, low-latency streaming interface.

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Stars: 137
Language: C++
Watchers: 137
License: MIT

GitHub Trending repo 6h ago

lucidrains/RoboTTT: Implementation of RoboTTT proposed by Yunfan Jiang et al. of Stanford and Nvidia

Implementation of RoboTTT proposed by Yunfan Jiang et al. of Stanford and Nvidia

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Tejascodes21/Generative-AI-Powered-Job-Recommender-System: No description

GitHub Trending repo 10h ago

Harshit-Lalwani/Issue-Assignee-Recommender: Two-stage recommender (BM25/embedding retrieval + LightGBM LambdaRank) that ranks the developers most likely to resolve a newly-filed Jira issue, built and evaluated on 130k real issues from 5 Apache/Jira projects.

Two-stage recommender (BM25/embedding retrieval + LightGBM LambdaRank) that ranks the developers most likely to resolve a newly-filed Jira issue, built and evaluated on 130k real i...

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lucidrains/RoboTTT: Implementation of RoboTTT proposed by Yunfan Jiang et al. of Stanford and Nvidia

Tejascodes21/Generative-AI-Powered-Job-Recommender-System: No description

Harshit-Lalwani/Issue-Assignee-Recommender: Two-stage recommender (BM25/embedding retrieval + LightGBM LambdaRank) that ranks the developers most likely to resolve a newly-filed Jira issue, built and evaluated on 130k real issues from 5 Apache/Jira projects.