Tools & Automation

CLI tools, utilities, converters, workflow automation, and productivity helpers

skills in category: 47,640
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Showing 6,649–6,672 of 47,640 skills

Arxiv 2609 16930v1 Repurposing Deep Limit Order Book Forecasting ForA**arXiv ID:** 2609.16930v1 **Authors:** Eljas Linna, Kestutis Baltakys, Derrick Manoharan, Alexandros Iosifidis, Juho Kanniainen **URL:** http://arxiv.org/abs/2609.16930v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16927v1 Verbalizing Subliminal Learning Effects Using TextA**arXiv ID:** 2609.16927v1 **Authors:** Nathan Hu, Sanmi Koyejo, Christopher Potts **URL:** http://arxiv.org/abs/2609.16927v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16925v1 Hycoseq Contextual Hyperbolic Representation LearnA**arXiv ID:** 2609.16925v1 **Authors:** Chenhao Zeng, Zhibin Pu, Shufei Ge **URL:** http://arxiv.org/abs/2609.16925v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16898v1 Optiprime Optimizing Private Inference Through ProA**arXiv ID:** 2609.16898v1 **Authors:** Jiangrui Yu, Ye Yu, Si Chen, Chenqi Lin, Wenxuan Zeng, Junfeng Fan, Mingyu Gao, Meng Li **URL:** http://arxiv.org/abs/2609.16898v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16864v1 Tempo Learning Temporal Context For Dynamic RobotA**arXiv ID:** 2609.16864v1 **Authors:** Zhenyang Feng, Jimin Heo, Erik B. Sudderth, Unnat Jain **URL:** http://arxiv.org/abs/2609.16864v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16859v1 Measuring Annotation Efficiency For Handwritten DeA**arXiv ID:** 2609.16859v1 **Authors:** Manglesh Kumar Pandey, Sumit Kumar Banshal **URL:** http://arxiv.org/abs/2609.16859v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
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Arxiv 2609 16841v1 Stacktok Accelerating Vlms Inference With Budget AA**arXiv ID:** 2609.16841v1 **Authors:** Zhenbin Wang, Lei Zhang, Lituan Wang, Wei Huang, Yan Wang, Zhenwei Zhang **URL:** http://arxiv.org/abs/2609.16841v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16824v1 Adapting To Decision Relevant Non Stationarity InA**arXiv ID:** 2609.16824v1 **Authors:** Zhaojun Peng **URL:** http://arxiv.org/abs/2609.16824v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16823v1 Lcap Population Informed Latent Chip Adaptation FrA**arXiv ID:** 2609.16823v1 **Authors:** Tianyu Gao, Guantian Zheng **URL:** http://arxiv.org/abs/2609.16823v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16822v1 Execution Flexibility In Automated Planning A CompA**arXiv ID:** 2609.16822v1 **Authors:** Md. Monjurul Islam, Sabah Binte Noor, Fazlul Hasan Siddiqui, Gahangir Hossain **URL:** http://arxiv.org/abs/2609.16822v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16814v1 Can We Do Interpretable Nli With Graphs Based On AA**arXiv ID:** 2609.16814v1 **Authors:** Younes Boufouss, Luc Pommeret, Thomas Gerald, Patrick Paroubek, Sophie Rosset **URL:** http://arxiv.org/abs/2609.16814v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16796v1 Time Warping Estimation Via Stationarity Based LeaA**arXiv ID:** 2609.16796v1 **Authors:** Corentin Presvôts, Adrien Meynard **URL:** http://arxiv.org/abs/2609.16796v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16795v1 Layers Sinks And Scaling Adaptive Evidence SelectiA**arXiv ID:** 2609.16795v1 **Authors:** Zhenbin Wang, Lei Zhang, Lituan Wang, Wei Huang, Yan Wang, Zhenwei Zhang **URL:** http://arxiv.org/abs/2609.16795v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16793v1 Available But Unclaimed An Empirical Study Of HumaA**arXiv ID:** 2609.16793v1 **Authors:** Robin Welsch, Michelle Rausch, Pascal Knierim, Thomas Kosch, Jochen Kuhn, Albrecht Schmidt, Daniela Fernandes **URL:** http://arxiv.org/abs/2609.16793v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16788v1 Noise2noise Revisited Training Pair DistributionsA**arXiv ID:** 2609.16788v1 **Authors:** Dingyan Shang, Zhenyu Xu, Youting Wang, Bonan Shen, Bowen Liu **URL:** http://arxiv.org/abs/2609.16788v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16768v1 Coverage Aware Virtual Imu Augmentation For Low ReA**arXiv ID:** 2609.16768v1 **Authors:** Jiayuan Gao, Yingwei Zhang, Ziyao Tang, Yuejia Ma, Yuanzhe Chen, Shuchao Song, Boshi Tang **URL:** http://arxiv.org/abs/2609.16768v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16760v1 Turn Level Multiscale Density Ratio Estimation ForA**arXiv ID:** 2609.16760v1 **Authors:** Zishuo Zhao, Kai Chen, Ao Li, Yuan Liu **URL:** http://arxiv.org/abs/2609.16760v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16754v1 Tame Token Attribution And Masking For Emergent MiA**arXiv ID:** 2609.16754v1 **Authors:** Md Rayhanul Masud, Md Rizwan Parvez **URL:** http://arxiv.org/abs/2609.16754v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16752v1 Beyond Episodic Ai Cognitive Field Networks For BiA**arXiv ID:** 2609.16752v1 **Authors:** Byung Gyu Chae **URL:** http://arxiv.org/abs/2609.16752v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16751v1 Constant Swap Regret In General Sum Games Via OptiA**arXiv ID:** 2609.16751v1 **Authors:** Tung Mai **URL:** http://arxiv.org/abs/2609.16751v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16742v1 Carry Through Checksum A Lightweight Fault DetectiA**arXiv ID:** 2609.16742v1 **Authors:** Kyrylo Nazarevych, Mohammad Hasan Ahmadilivani, Krister Kaldre, Davide Bertozzi, Jaan Raik **URL:** http://arxiv.org/abs/2609.16742v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16730v1 Lsrep A Longitudinal State Replay Protocol For EvaA**arXiv ID:** 2609.16730v1 **Authors:** Deepesh Sonar **URL:** http://arxiv.org/abs/2609.16730v1 **Utility Score:** 1.00toolsgitVotes: 0GitHub stars: 3
Arxiv 2609 16722v1 Videomm Adaptive Macro Micro Inference For EfficieA**arXiv ID:** 2609.16722v1 **Authors:** Haoyu Guo, Yuan Feng, Junlin Lv, Mingjun Xiao, S Kevin Zhou, Xike Xie **URL:** http://arxiv.org/abs/2609.16722v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3
Arxiv 2609 16697v1 World Models For Embodied Intelligence From PlausiA**arXiv ID:** 2609.16697v1 **Authors:** Nanjie Yao, Hao Wang, Chong Cheng, Zhikang Chen, Wenzhe Li, Jiafei Lyu, Li Shen, Peilin Zhao, Zongqing Lu, Gao Huang, Steven Hoi, Dacheng Tao, Deheng Ye **URL:** http://arxiv.org/abs/2609.16697v1 **Utility Score:** 1.00toolsVotes: 0GitHub stars: 3