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.