githubbabrova

githubbabrova's Stars

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.1k933

• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5.1k780

• feast-dev/feast

  The Open Source Feature Store for Machine Learning

  Language:Python5.6k999

• microsoft/gated-graph-neural-network-samples

  Sample Code for Gated Graph Neural Networks

  Language:Python1k262

• AMLab-Amsterdam/CEVAE

  Causal Effect Inference with Deep Latent-Variable Models

  Language:Python327101

• ServiceNow/HighRes-net

  Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition. This is a ServiceNow Research project that was started at Element AI.

  Language:Jupyter Notebook27952

• stanfordmlgroup/ngboost

  Natural Gradient Boosting for Probabilistic Prediction

  Language:Python1.7k218

• firmai/python-business-analytics

  Python solutions to solve practical business problems.

  Language:Jupyter Notebook475174

• elfi-dev/elfi

  ELFI - Engine for Likelihood-Free Inference

  Language:Python26760

• nicola-decao/diffmask

  Pytorch implementation of DiffMask

  Language:Jupyter Notebook556

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.3k7.9k

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python83.9k22.6k

• maciejkula/spotlight

  Deep recommender models using PyTorch.

  Language:Python3k425

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k74.3k

• FenTechSolutions/CausalDiscoveryToolbox

  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

  Language:Python1.1k199

• ritchieng/the-incredible-pytorch

  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

  11.5k2.1k

• openai/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python10.2k2.2k

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.8k4.9k

• rapidsai/cudf

  cuDF - GPU DataFrame Library

  Language:C++8.4k904

• chiphuyen/lazynlp

  Library to scrape and clean web pages to create massive datasets.

  Language:Python2.2k311

• alphaSeclab/awesome-network-stuff

  Resources about network security, including: Proxy/GFW/ReverseProxy/Tunnel/VPN/Tor/I2P, and MiTM/PortKnocking/NetworkSniff/NetworkAnalysis/etc。More than 1700 open source tools for now. Post incoming.

  870174

• rasbt/python-machine-learning-book-2nd-edition

  The "Python Machine Learning (2nd edition)" book code repository and info resource

  Language:Jupyter Notebook7.1k2.8k

• streamlit/streamlit

  Streamlit — A faster way to build and share data apps.

  Language:Python35.7k3.1k

• pyodide/pyodide

  Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

  Language:Python12.3k844

• modin-project/modin

  Modin: Scale your Pandas workflows by changing a single line of code

  Language:Python9.9k653

• fastai/fastai

  The fastai deep learning library

  Language:Jupyter Notebook26.3k7.6k

• benmiroglio/pymatch

  Language:Jupyter Notebook276129

• huggingface/transfer-learning-conv-ai

  🦄 State-of-the-Art Conversational AI with Transfer Learning

  Language:Python1.7k432

• r0f1/datascience

  Curated list of Python resources for data science.

  4.2k690

• sekwiatkowski/awesome-capsule-networks

  A curated list of awesome resources related to capsule networks

  974197