repo_url stringlengths 26 200 | paper_url stringlengths 36 81 | paper_title stringlengths 3 229 β | paper_arxiv_id stringlengths 9 16 | framework stringclasses 9
values | official_status stringclasses 2
values | mention_source stringclasses 3
values |
|---|---|---|---|---|---|---|
https://github.com/allenai/pybart | https://paperswithcode.com/paper/pybart-evidence-based-syntactic | pyBART: Evidence-based Syntactic Transformations for IE | 2005.01306 | none | β Unofficial | π On GitHub |
https://github.com/gregmoille/pyLLE | https://paperswithcode.com/paper/pylle-a-fast-and-user-friendly-lugiato | pyLLE: a Fast and User Friendly Lugiato-Lefever Equation Solver | 1903.10441 | none | β Unofficial | π On GitHub |
https://github.com/lix2ng/qdsv | https://paperswithcode.com/paper/qdsa-small-and-secure-digital-signatures-with | qDSA: Small and Secure Digital Signatures with Curve-based Diffie--Hellman Key Pairs | 1709.03358 | none | β Unofficial | π On GitHub |
https://github.com/AlejandroMus/kracs | https://paperswithcode.com/paper/rpicard-a-casa-based-calibration-pipeline-for | rPICARD: A CASA-based Calibration Pipeline for VLBI Data. Calibration and imaging of 7 mm VLBA observations of the AGN jet in M87 | 1902.01749 | none | β Unofficial | π On GitHub |
https://github.com/lukasHoel/3rscan-triplet-dataset-toolkit | https://paperswithcode.com/paper/re-obj-jointly-learning-the-foreground-and | re-OBJ: Jointly Learning the Foreground and Background for Object Instance Re-identification | 1909.07704 | pytorch | β Unofficial | π On GitHub |
https://github.com/Improbable-AI/curiosity_baselines | https://paperswithcode.com/paper/rlpyt-a-research-code-base-for-deep | rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch | 1909.01500 | pytorch | β Unofficial | π On GitHub |
https://github.com/Biostatistics4SocialImpact/rstap | https://paperswithcode.com/paper/rstap-an-r-package-for-spatial-temporal | rstap: An R Package for Spatial Temporal Aggregated Predictor Models | 1812.10208 | none | β Unofficial | π On GitHub |
https://github.com/netleibi/fastchunking | https://paperswithcode.com/paper/sec-cs-getting-the-most-out-of-untrusted | sec-cs: Getting the Most out of Untrusted Cloud Storage | 1606.03368 | none | β Unofficial | π On GitHub |
https://github.com/iganna/semobay | https://paperswithcode.com/paper/semopy-a-python-package-for-structural | semopy: A Python package for Structural Equation Modeling | 1905.09376 | none | β Unofficial | π On GitHub |
https://github.com/explosion/sense2vec | https://paperswithcode.com/paper/sense2vec-a-fast-and-accurate-method-for-word | sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings | 1511.06388 | none | β Unofficial | π On GitHub |
https://github.com/yangyucheng000/Paper-2/tree/main/SharpDRO-ms-main | https://paperswithcode.com/paper/sharpdarts-faster-and-more-accurate | sharpDARTS: Faster and More Accurate Differentiable Architecture Search | 1903.09900 | mindspore | β Unofficial | β No Mention |
https://github.com/MindSpore-scientific/code-8/tree/main/signSGD | https://paperswithcode.com/paper/signsgd-compressed-optimisation-for-non | signSGD: Compressed Optimisation for Non-Convex Problems | 1802.04434 | mindspore | β Unofficial | β No Mention |
https://github.com/pbhatia243/Neural_Conversation_Models | https://paperswithcode.com/paper/soc2seq-social-embedding-meets-conversation | soc2seq: Social Embedding meets Conversation Model | 1702.05512 | tf | β Unofficial | π On GitHub |
https://github.com/antcalcagni/ssMousetrack | https://paperswithcode.com/paper/ssmousetrack-analysing-computerized-tracking | ssMousetrack: Analysing computerized tracking data via Bayesian state-space models in {R} | 1904.10172 | none | β Unofficial | π On GitHub |
https://cran.r-project.org/web/packages/statmod/index.html | https://paperswithcode.com/paper/statmod-probability-calculations-for-the | statmod: Probability Calculations for the Inverse Gaussian Distribution | 1603.06687 | none | β Unofficial | β No Mention |
https://github.com/breizhn/tPLCnet | https://paperswithcode.com/paper/tplcnet-real-time-deep-packet-loss | tPLCnet: Real-time Deep Packet Loss Concealment in the Time Domain Using a Short Temporal Context | 2204.01300 | tf | β Unofficial | β No Mention |
https://github.com/threatrace-detector/threatrace | https://paperswithcode.com/paper/threatrace-detecting-and-tracing-host-based | threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning | 2111.04333 | pytorch | β Unofficial | π In Paper |
https://github.com/polyvios/twAwler | https://paperswithcode.com/paper/twawler-a-lightweight-twitter-crawler | twAwler: A lightweight twitter crawler | 1804.07748 | none | β Unofficial | π On GitHub |
https://github.com/dstndstn/unwise-coadds | https://paperswithcode.com/paper/unwise-unblurred-coadds-of-the-wise-imaging | unWISE: unblurred coadds of the WISE imaging | 1405.0308 | none | β Unofficial | π On GitHub |
https://github.com/lylyhan/wave2shape | https://paperswithcode.com/paper/wav2shape-hearing-the-shape-of-a-drum-machine | wav2shape: Hearing the Shape of a Drum Machine | 2007.10299 | pytorch | β Unofficial | π On GitHub |
https://github.com/rkmtlab/wavEMS | https://paperswithcode.com/paper/wavems-improving-signal-variation-freedom-of | wavEMS: Improving Signal Variation Freedom of Electrical Muscle Stimulation | 1902.03184 | none | β Unofficial | π On GitHub |
https://github.com/inkyusa/weedNet | https://paperswithcode.com/paper/weednet-dense-semantic-weed-classification | weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming | 1709.03329 | none | β Unofficial | π On GitHub |
https://github.com/vin-nag/XAI_GAN | https://paperswithcode.com/paper/logicgan-logic-guided-generative-adversarial | xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI Systems | 2002.10438 | pytorch | β Unofficial | β No Mention |
https://github.com/smvorwerk/xlstm-cuda | https://paperswithcode.com/paper/xlstm-extended-long-short-term-memory | xLSTM: Extended Long Short-Term Memory | 2405.04517 | pytorch | β Unofficial | π On GitHub |
https://github.com/uni-tue-kn/xrac | https://paperswithcode.com/paper/xrac-execution-and-access-control-for | xRAC: Execution and Access Control for Restricted Application Containers on Managed Hosts | 1907.03544 | none | β Unofficial | π On GitHub |
https://github.com/MiuLab/xSense | https://paperswithcode.com/paper/xsense-learning-sense-separated-sparse | xSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense Networks | 1809.03348 | pytorch | β Unofficial | π On GitHub |
https://github.com/ultralytics/xview-yolov3 | https://paperswithcode.com/paper/xview-objects-in-context-in-overhead-imagery | xView: Objects in Context in Overhead Imagery | 1802.07856 | pytorch | β Unofficial | β No Mention |
https://github.com/zfit/zfit | https://paperswithcode.com/paper/zfit-scalable-pythonic-fitting | zfit: scalable pythonic fitting | 1910.13429 | tf | β Unofficial | π On GitHub |
https://github.com/kylebutts/did2s | https://paperswithcode.com/paper/did2s-two-stage-difference-in-differences | {did2s}: Two-Stage Difference-in-Differences | 2109.05913 | none | β Unofficial | π On GitHub |
https://github.com/martinfrasch/astrocytes_RNAseq | https://paperswithcode.com/paper/7-nicotinic-acetylcholine-receptor-signaling | Ξ±7 nicotinic acetylcholine receptor signaling modulates ovine fetal brain astrocytes transcriptome in response to endotoxin: comparison to microglia, implications for prenatal stress and development of autism spectrum disorder | 1812.06617 | none | β Unofficial | π On GitHub |
https://github.com/FabriFalasca/delta-MAPS | https://paperswithcode.com/paper/-maps-from-spatio-temporal-data-to-a-weighted | Ξ΄-MAPS: From spatio-temporal data to a weighted and lagged network between functional domains | 1602.07249 | none | β Unofficial | π On GitHub |
https://github.com/spcl/ucudnn | https://paperswithcode.com/paper/-cudnn-accelerating-deep-learning-frameworks | ΞΌ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching | 1804.04806 | tf | β Unofficial | π On GitHub |
Subsets and Splits
Unique ArXiv IDs in Train Data
Identifies and retrieves records of papers that appear only once in the dataset, helping to understand unique entries.