mjanson

mjanson's Stars

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  61.1k2.3k1169.9k

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX60.2k8844749.6k

• firecracker-microvm/firecracker

  Secure and fast microVMs for serverless computing.

  Language:Rust26.3k3311.4k1.8k

• google/eng-practices

  Google's Engineering Practices documentation

  20k656162k

• facebook/prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  Language:Python18.5k4522.2k4.5k

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.7k4343.4k3.8k

• NicolasHug/Surprise

  A Python scikit for building and analyzing recommender systems

  Language:Python6.4k1453831k

• lyst/lightfm

  A Python implementation of LightFM, a hybrid recommendation algorithm.

  Language:Python4.8k87505692

• Nixtla/statsforecast

  Lightning ⚡️ fast forecasting with statistical and econometric models.

  Language:Python4k41338286

• salesforce/Merlion

  Merlion: A Machine Learning Framework for Time Series Intelligence

  Language:Python3.4k5889302

• maciejkula/spotlight

  Deep recommender models using PyTorch.

  Language:Python3k106110426

• tensorflow/ranking

  Learning to Rank in TensorFlow

  Language:Python2.7k97319477

• Nixtla/nixtla

  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  Language:Jupyter Notebook2.3k35165189

• randy3k/radian

  A 21 century R console

  Language:Python2k2643476

• o19s/elasticsearch-learning-to-rank

  Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

  Language:Java1.5k71266368

• scikit-learn-contrib/MAPIE

  A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

  Language:Jupyter Notebook1.3k16253111

• allegro/allRank

  allRank is a framework for training learning-to-rank neural models based on PyTorch.

  Language:Python8742843119

• valeman/Transformers_And_LLM_Are_What_You_Dont_Need

  The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.

  54114128

• duolingo/halflife-regression

  Language:Python49650888

• Nixtla/tsfeatures

  Calculates various features from time series data. Python implementation of the R package tsfeatures.

  Language:Python37192044

• thumbtack/abba

  Javascript and Python libraries for A/B test analysis

  Language:JavaScript246203953

• ogrisel/pygbm

  Experimental Gradient Boosting Machines in Python with numba.

  Language:Python183274332

• haowei01/pytorch-examples

  train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc

  Language:Python1785320

• RamiKrispin/atsaf

  Applied Time Series Analysis and Forecasting

  Language:R167142013

• lukasvermeer/bootstrapbandits

  Based on Thompson sampling with the online bootstrap (Dean Eckles, Maurits Kaptein). http://arxiv.org/abs/1410.4009

  Language:Python11303

• glikson/firecracker-gcp

  Running Firecracker VMM on GCP with nested KVM

  10100

• christoph-borgers/numerical-linear-algebra

  Code for my book on numerical linear algebra.

  Language:MATLAB7101

• prob140/materials-fa20

  Language:Jupyter Notebook4302

• bureau-of-information/mopd

  Language:HTML2

• theory-cs/theory-cs.github.io

  Language:JavaScript1007