Ensemble forecasting with IBM Granite time-series models
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AI & ML interests
Enterprise AI and ML, Foundation Models, Responsible AI
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Papers
DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training
Evoflux: Inference-Time Evolution of Executable Tool Workflows for Compact Agents
Articles
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IBM ❤️ Open Source AI
IBM is building enterprise-focused foundation models to drive the future of business.
We strongly believe in the power of collaboration and community-driven development to propel AI forward. As such, we will be hosting our latest open innovations from IBM Research in this Hugging Face organization. We hope that the AI community will find our efforts useful and that our models help fuel their research.
If you have any questions, please visit our discussions page.
A collection of time series models trained by IBM
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ibm-research/ttm-research-r2
Time Series Forecasting • 855k • Updated • 10.1k • 9 -
ibm-research/ttm-r3
Time Series Forecasting • 1.41M • Updated • 2.7k • 9 -
ibm-research/flowstate
Time Series Forecasting • 9.07M • Updated • 40.9k • 13 -
ibm-research/patchtst-fm-r1
Time Series Forecasting • 0.3B • Updated • 24.4k • 10
Pretrained graph networks that predict QAOA parameters for max-cut.
A collection of time series models trained by IBM
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ibm-research/ttm-research-r2
Time Series Forecasting • 855k • Updated • 10.1k • 9 -
ibm-research/ttm-r3
Time Series Forecasting • 1.41M • Updated • 2.7k • 9 -
ibm-research/flowstate
Time Series Forecasting • 9.07M • Updated • 40.9k • 13 -
ibm-research/patchtst-fm-r1
Time Series Forecasting • 0.3B • Updated • 24.4k • 10
spaces 18
pinned
Running
Agents
7
BlueBench Leaderboard
🥇
An open-source benchmark for enterprise use cases.
Running
Featured
60
CUGA Apps
🚀
Explore and launch CUGA apps from a single dashboard
Running
1
Risk Atlas Nexus
🛡
Evaluate AI risks with common risk taxonomies
Running
19
VAKRA Leaderboard
🏆
Explore and submit AI agent benchmarks on VAKRA
Running
2
ScarfBench
🐠
Java framework migration
Sleeping
2
BPO Benchmark Evaluation
📊
Run BPO recruiting benchmark with CUGA SDK
models 370
ibm-research/S23D.25m.v1
24.8M • Updated • 14 • 1
ibm-research/S23D.8m.v1
8.55M • Updated • 206 • 1
ibm-research/qaoa_angles.max_cut.p5.mlp
Updated
ibm-research/qaoa_angles.max_cut.p5.gt
Updated
ibm-research/qaoa_angles.max_cut.p5.gin
Updated
ibm-research/qaoa_angles.max_cut.p5.gcn
Updated
ibm-research/qaoa_angles.max_cut.p5.et
Updated
ibm-research/qaoa_angles.max_cut.p5.dit
Updated
ibm-research/qaoa_angles.max_cut.p4.mlp
Updated
ibm-research/qaoa_angles.max_cut.p4.gt
Updated
datasets 106
ibm-research/SI-Cyber
Viewer • Updated • 7.98k • 71
ibm-research/S23D.GEOM.processed
Updated • 47 • 1
ibm-research/LLMFineTuningBench
Viewer • Updated • 30.9k • 262 • 3
ibm-research/VAKRA
Viewer • Updated • 1.8k • 21.8k • 48
ibm-research/VAKRA-GatedTest
Updated • 18 • 1
ibm-research/dp-bench
Updated • 124 • 1
ibm-research/lmcache-agentic-traces_Otel
Viewer • Updated • 767 • 89
ibm-research/codex_swebenchpro_traces_Otel
Preview • Updated • 481
ibm-research/gb-bash-1step-out_j2id8zjb
Viewer • Updated • 1 • 24
ibm-research/gb-bash-1step-out_bzsfbaex
Viewer • Updated • 1 • 16