nrgg's Stars
wetneb/openrefine-wikibase
This repository has migrated to:
HazyResearch/reef
Automatically labeling training data
hudson-and-thames/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
donlnz/nonconformist
Python implementation of the conformal prediction framework.
dnbaker/frp
FRP: Fast Random Projections
pystruct/pystruct
Simple structured learning framework for python
aothman/hiscore
HiScore makes creating sophisticated scores easy
MLWave/extremely-simple-one-shot-learning
Extremely simple one-shot learning in Python
mit-pdos/noria
Fast web applications through dynamic, partially-stateful dataflow
google/tf-quant-finance
High-performance TensorFlow library for quantitative finance.
mrpowers-io/quinn
pyspark methods to enhance developer productivity 📣 👯 🎉
hi-primus/optimus
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
google-research-datasets/sentence-compression
Large corpus of uncompressed and compressed sentences from news articles.
HoloClean/holoclean
A Machine Learning System for Data Enrichment.
Delta-ML/delta
DELTA is a deep learning based natural language and speech processing platform.
fnl/segtok
Segtok v2 is here: https://github.com/fnl/syntok -- A rule-based sentence segmenter (splitter) and a word tokenizer using orthographic features.
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
scikit-optimize/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
jkkummerfeld/slate
A Super-Lightweight Annotation Tool for Experts: Label text in a terminal with just Python
forest-snow/anchor-topic
This package supports implementation of anchor-based topic modeling and variants of the anchoring algorithm in Python 3.
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
adjidieng/ETM
Topic Modeling in Embedding Spaces
lior-k/fast-elasticsearch-vector-scoring
Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
anhaidgroup/deepmatcher
Python package for performing Entity and Text Matching using Deep Learning.
mwydmuch/extremeText
Library for fast text representation and extreme classification.
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
bytedance/byteps
A high performance and generic framework for distributed DNN training
boudinfl/centrality_measures_ijcnlp13
Centrality Measures for Graph-Based Keyphrase Extraction