Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

awesome-list


https://github.com/netguru/awesome-list

  • Common-Voice - Multi language, open source database with voice samples that anyone can use to train speech-enabled applications.
  • AI-Blocks - a powerful and intuitive
  • Luna Studio - Hybrid textual and visual
  • fast.ai - The fastai library simplifies
  • PyTorch - Tensors and Dynamic neural
  • tensorflow - An Open Source
  • neon - Intel® Nervana™ reference
  • cleverhans - An adversarial
  • Netron - a viewer for neural network,
  • Online viewer
  • List of conversion tools for DNN models - list of many libraries (github projects) that provides options for converting DNN models between different frameworks
  • umap - dimension reduction technique that
  • DALI - A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications [docs](https://docs.nvidia.com/deeplearning/sdk/dali-developer-guide/docs/index.html)
  • gin-config - Gin provides
  • imbalanced-learn - A python package offering a number of re-sampling techniques. Compatible with scikit-learn, is part of scikit-learn-contrib projects.
  • mlxtend - A library of extension and
  • numpy - The fundamental package for
  • PyOD - Outlier detection library
  • RAPIDS - Open GPU Data Science. More
  • here
  • scikit-learn - machine
  • scikit-learn-laboratory (SKLL) - CLI
  • scipy - open-source software for
  • statsmodels - statistical
  • SymPy - A computer algebra system written in pure Python, library for symbolic mathematics
  • Vaex - Out-of-Core DataFrames for Python, visualize and explore big tabular data at a billion rows per second. [Project page](https://vaex.io/)
  • Allen NLP - An open-source NLP research
  • PyText - A natural language
  • pytorch-transformers
  • flair - A very simple framework
  • gensim - Topic modeling
  • spaCy - spaCy is a library for advanced
  • TextBlob - Simple, Pythonic, text
  • hyperopt - Distributed Asynchronous
  • nevergrad - A Python toolbox
  • pyro - Deep universal probabilistic
  • pgmpy - Python Library for Probabilistic
  • surprise - A Python scikit for
  • warp-ctc - loss function to
  • DeepSpeech - A TensorFlow
  • speech-to-text-wavenet
  • pykaldi - A Python wrapper for Kaldi -
  • pytorch-kaldi - pytorch-kaldi
  • gradio - Library to easily integrate models into existing python (web) apps.
  • glow - Compiler for Neural Network hardware
  • jax - Composable transformations of
  • numba - NumPy aware dynamic Python compiler
  • csvkit - A suite of utilities for
  • redash - Connect to any data source,
  • odo - Odo migrates between many formats. These include in-memory structures like list, pd.DataFrame and np.ndarray and also data outside of Python like CSV/JSON/HDF5 files, SQL databases, data on remote machines, and the Hadoop File System.
  • doccano - Open source text annotation tool for machine learning practitioners.
  • snorkel - A system for
  • scrapy - high-level library to write
  • Quilt - Quilt versions and deploys data
  • matplotlib - plotting with Python
  • bokeh - Interactive Web Plotting for Python
  • plotly - An open-source, interactive
  • dash - Analytical Web Apps for Python. No
  • Jupyter Dashboards - Jupyter layout
  • vega - visualization grammar, a declarative
  • schema crawler - a tool
  • scikit-plot - sklearn wrapper to automate
  • featuretools - an open source python framework for automated feature engineering.
  • nvtop - a (h)top like task monitor for NVIDIA GPUs.
  • s2i - Source-to-Image (S2I) is a toolkit and workflow for building reproducible container images from source code. S2I produces ready-to-run images by injecting source code into a container image and letting the container prepare that source code for execution. By creating self-assembling builder images, you can version and control your build environments exactly like you use container images to version your runtime environments.
  • luigi - Luigi is a Python module that
  • pywren - parfor on AWS Lambda
  • horovod - Distributed training framework
  • dask - library for parallel computing in Python with dynamic task scheduling: numpy computation graphs.
  • shap - A unified approach to explain the output of any machine learning model
  • tensorboardX - tensorboard for
  • Weights and Biases - Experiment Tracking for Deep
  • pandas-profiling - tool for generating exploratory data