Data Science
701 items from academic/awesome-datascience ★30,136
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Ludwig github.com
A low-code framework for building custom AI models like LLMs and other deep neural networks. #opensource
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vizzu github.com
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TidyTuesday github.com
TidyTuesday is a weekly data project aimed at the R ecosystem with an emphasis placed on understanding how to summarize and arrange data to make meaningful charts.
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TensorLayer github.com
Deep learning and reinforcement learning library for researchers and engineers
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skorch github.com
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causalml github.com
Uplift modeling and causal inference with machine learning algorithms.
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keras-rl github.com
Deep Reinforcement Learning for Keras.
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cuML github.com
RAPIDS Machine Learning Library.
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Data Science github.com
Open Source Society University
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ignite github.com
High-level library to help with training neural networks in PyTorch.
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GPyTorch github.com
A highly efficient and modular implementation of Gaussian Processes in PyTorch.
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torchtext github.com
Data loaders and abstractions for text and NLP.
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TensorForce github.com
An open-source deep reinforcement learning framework, with an emphasis on modularized flexible library design and straightforward usability for applications in research and practice.
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TRFL github.com
TensorFlow Reinforcement Learning.
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Train LLM From Scratch github.com
A straightforward method for training your LLM, from downloading data to generating text.
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hyperlearn github.com
50%+ Faster, 50%+ less RAM usage, GPU support re-written Sklearn, Statsmodels.
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Yolov3 github.com
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Data Science Interviews Questions github.com
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Spektral github.com
Deep learning on graphs.
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modAL github.com
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sklearn-bayes github.com
Python package for Bayesian Machine Learning with scikit-learn API.
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Hyperas github.com
Keras + Hyperopt: A straightforward wrapper for a convenient hyperparameter.
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pyro github.com
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TensorFlow Fold github.com
Deep learning with dynamic computation graphs in TensorFlow.
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Talos github.com
Hyperparameter Optimization for Keras Models.
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Mesh TensorFlow github.com
Model Parallelism Made Easier.
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How to Share Data with a Statistician github.com
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scikit-feature github.com
Feature selection repository in Python.
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keras-contrib github.com
Keras community contributions.
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Elephas github.com
Distributed Deep learning with Keras & Spark.
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tensorpack github.com
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Sparkit-learn github.com
PySpark + scikit-learn = Sparkit-learn.
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Awesome Game Datasets github.com
Materials and datasets for Artificial Intelligence in games.
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pyGAM github.com
Generalized Additive Models in Python.
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Data Science Specialization github.com
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scikit-multilearn github.com
Multi-label classification for python.
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100 NLP Papers github.com
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Hands-on Train and Deploy ML github.com
A hands-on course to train and deploy a serverless API that predicts crypto prices.
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sklearn-deap github.com
Use evolutionary algorithms instead of gridsearch in scikit-learn.
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torchvista github.com
Interactive notebook-based tool to visualize the forward pass of any PyTorch model.
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perpetual-ml/perpetual github.com
[perpetual] - A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization.
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seqlearn github.com
Sequence classification toolkit for Python.
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tensorflow-upstream github.com
TensorFlow ROCm port.
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pystruct github.com
Simple structured learning framework for Python.
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Data Science Projects github.com
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qkeras github.com
A quantization deep learning library.
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sklearn-expertsys github.com
Highly interpretable classifiers for scikit learn.
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RuleFit github.com
Implementation of the rulefit.
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sklearn-crfsuite github.com
A scikit-learn-inspired API for CRFsuite.
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