ehudbaumatz's Stars
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
shap/shap
A game theoretic approach to explain the output of any machine learning model.
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
plasma-umass/scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
pycaret/pycaret
An open-source, low-code machine learning library in Python
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
lucidrains/x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers
deepchecks/deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
princeton-nlp/SimCSE
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
jbesomi/texthero
Text preprocessing, representation and visualization from zero to hero.
MIT-LCP/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
jakobrunge/tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
zalandoresearch/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
karpathy/arxiv-sanity-lite
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.
HazyResearch/data-centric-ai
Resources for Data Centric AI
princeton-nlp/PURE
[NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812
yaohungt/Multimodal-Transformer
[ACL'19] [PyTorch] Multimodal Transformer
georgian-io/Multimodal-Toolkit
Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
amzn/pecos
PECOS - Prediction for Enormous and Correlated Spaces
Babelscape/rebel
REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).
gsi-upm/sematch
semantic similarity framework for knowledge graph
jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
Luoyonghong/Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
NIPS2018 paper
cap-ntu/Video-to-Retail-Platform
An intelligent multimodal-learning based system for video, product and ads analysis. Based on the system, people can build a lot of downstream applications such as product recommendation, video retrieval, etc.
bio-ontology-research-group/machine-learning-with-ontologies
thuml/Self-Tuning
Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)
guoqunabc/X-BERT
X-BERT: eXtreme Multi-label Text Classification with BERT
phamquiluan/table-transformer
CVPR 2022: Table Structure Recognition
yhydhx/ChatGPT-API
Implements ChatGPT API via request package.