dataframing's Stars
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
recommenders-team/recommenders
Best Practices on Recommendation Systems
spotify/luigi
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
piskvorky/gensim
Topic Modelling for Humans
dagster-io/dagster
An orchestration platform for the development, production, and observation of data assets.
great-expectations/great_expectations
Always know what to expect from your data.
vishnubob/wait-for-it
Pure bash script to test and wait on the availability of a TCP host and port
lauris/awesome-scala
A community driven list of useful Scala libraries, frameworks and software.
Netflix/metaflow
Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
ijl/orjson
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
pre-commit/pre-commit-hooks
Some out-of-the-box hooks for pre-commit
scalaz/scalaz
Principled Functional Programming in Scala
alexandru/scala-best-practices
A collection of Scala best practices
jdb78/pytorch-forecasting
Time series forecasting with PyTorch
eugeneyan/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
marcotcr/checklist
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
tensorflow/recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
deepcharles/ruptures
ruptures: change point detection in Python
juntang-zhuang/Adabelief-Optimizer
Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
jalammar/jalammar.github.io
Build a Jekyll blog in minutes, without touching the command line.
pydanny/cached-property
A decorator for caching properties in classes.
huggingface/pytorch_block_sparse
Fast Block Sparse Matrices for Pytorch
TimDettmers/sparse_learning
Sparse learning library and sparse momentum resources.
joshlk/dataclassframe
A container for dataclasses with multi-indexing and bulk operations.
ohmeow/blurr
A library that integrates huggingface transformers with the world of fastai, giving fastai devs everything they need to train, evaluate, and deploy transformer specific models.
kropp/intellij-makefile
Makefile support for IntelliJ-based IDEs
labdac/Meta-Prod2Vec
Repository for experiments with MetaProd2Vec and related algorithms.
deezer/w2v_reco_hyperparameters_matter
Repository to reproduce results of "Word2vec applied to Recommendation: Hyperparameters Matter" by H. Caselles-Dupré, F. Lesaint and J. Royo-Letelier. The paper will be published on the 12th ACM Conference on Recommender Systems, Vancouver, Canada, 2nd-7th October 2018