pybbdaPython Baseball Data and Analysis
Stars: ✭ 21 (-72%)
Mutual labels: baseball
game-feature-learningCode for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18
Stars: ✭ 68 (-9.33%)
Mutual labels: representation-learning
ballpark-trackerA simple application used for tracking which MLB and AAA stadiums a "Ballpark Chaser" has been to.
Stars: ✭ 15 (-80%)
Mutual labels: baseball
MSFOfficial code for "Mean Shift for Self-Supervised Learning"
Stars: ✭ 42 (-44%)
Mutual labels: representation-learning
SimCLRPytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
Stars: ✭ 65 (-13.33%)
Mutual labels: representation-learning
CodeT5Code for CodeT5: a new code-aware pre-trained encoder-decoder model.
Stars: ✭ 390 (+420%)
Mutual labels: representation-learning
gnn-lspeSource code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Stars: ✭ 165 (+120%)
Mutual labels: representation-learning
gan tensorflowAutomatic feature engineering using Generative Adversarial Networks using TensorFlow.
Stars: ✭ 48 (-36%)
Mutual labels: representation-learning
autoencoders tensorflowAutomatic feature engineering using deep learning and Bayesian inference using TensorFlow.
Stars: ✭ 66 (-12%)
Mutual labels: representation-learning
baseballstatsBaseball win expectancy and expected runs per inning calculators
Stars: ✭ 23 (-69.33%)
Mutual labels: baseball
information-dropoutImplementation of Information Dropout
Stars: ✭ 36 (-52%)
Mutual labels: representation-learning
protoProto-RL: Reinforcement Learning with Prototypical Representations
Stars: ✭ 67 (-10.67%)
Mutual labels: representation-learning
Patient2VecPatient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Stars: ✭ 85 (+13.33%)
Mutual labels: representation-learning
visual syntactic embedding video captioningSource code of the paper titled *Improving Video Captioning with Temporal Composition of a Visual-Syntactic Embedding*
Stars: ✭ 23 (-69.33%)
Mutual labels: representation-learning
FEATHERThe reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Stars: ✭ 34 (-54.67%)
Mutual labels: representation-learning
poincare embeddingPoincaré Embedding
Stars: ✭ 36 (-52%)
Mutual labels: representation-learning
retrosheetProject to parse retrosheet baseball data in python
Stars: ✭ 19 (-74.67%)
Mutual labels: baseball
cpnetLearning Video Representations from Correspondence Proposals (CVPR 2019 Oral)
Stars: ✭ 93 (+24%)
Mutual labels: representation-learning
ethereum-privacyProfiling and Deanonymizing Ethereum Users
Stars: ✭ 37 (-50.67%)
Mutual labels: representation-learning
