skhironori

skhironori's Stars

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX21.9k2.9k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook21.7k8.4k

• adebayoj/fairml

  Language:Python35974

• plaidml/plaidml

  PlaidML is a framework for making deep learning work everywhere.

  Language:C++4.6k400

• facebookresearch/hiplot

  HiPlot makes understanding high dimensional data easy

  Language:TypeScript2.7k141

• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Language:Python8.7k1.3k

• FluxML/Flux.jl

  Relax! Flux is the ML library that doesn't make you tensor

  Language:Julia4.5k604

• cpnota/autonomous-learning-library

  A PyTorch library for building deep reinforcement learning agents.

  Language:Python64472

• google/flax

  Flax is a neural network library for JAX that is designed for flexibility.

  Language:Python6k637

• 13o-bbr-bbq/machine_learning_security

  Source code about machine learning and security.

  Language:Python2k649

• uber/manifold

  A model-agnostic visual debugging tool for machine learning

  Language:JavaScript1.6k117

• mlflow/mlflow

  Open source platform for the machine learning lifecycle

  Language:Python18.5k4.2k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python133k26.6k

• stanfordmlgroup/ngboost

  Natural Gradient Boosting for Probabilistic Prediction

  Language:Python1.6k215

• keras-team/keras

  Deep Learning for humans

  Language:Python61.8k19.4k

• gdikov/hypertunity

  A toolset for black-box hyperparameter optimisation.

  Language:Python13610

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.7k25.3k

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.8k1.5k

• modin-project/modin

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

  Language:Python9.8k652

• jmcarpenter2/swifter

  A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

  Language:Python2.5k101

• TobiasSkovgaardJepsen/posts

  A repository for code accompanying my Medium posts.

  Language:Jupyter Notebook6584

• tensorflow/tcav

  Code for the TCAV ML interpretability project

  Language:Jupyter Notebook628144

• WillKoehrsen/automated-feature-engineering

  Automated feature engineering in Python with Featuretools

  Language:Jupyter Notebook520292

• EpistasisLab/tpot

  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

  Language:Python9.7k1.6k

• leopiney/deep-forest

  An on going implementation of the gcForest algorithm

  Language:Python19458

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.2k8.7k

• p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

  PyTorch implementations of deep reinforcement learning algorithms and environments

  Language:Python5.6k1.2k

• arXivTimes/arXivTimes

  repository to research & share the machine learning articles

  3.9k201

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.4k2.2k

• chainer/chainer

  A flexible framework of neural networks for deep learning

  Language:Python5.9k1.4k