laumandal

laumandal's Stars

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX50.2k4.9k

• archinetai/audio-ai-timeline

  A timeline of the latest AI models for audio generation, starting in 2023!

  1.9k69

• bnpy/bnpy

  Bayesian nonparametric machine learning for Python

  Language:Python21358

• chriskiehl/Gooey

  Turn (almost) any Python command line program into a full GUI application with one line

  Language:Python20.7k1k

• google/python-fire

  Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

  Language:Python27.1k1.4k

• ThasianX/ElegantTimeline-SwiftUI

  Elegant demonstration of a multi-faceted timeline view with interactions between the calendar, list, and app theme.

  Language:Swift87051

• magenta/magenta

  Magenta: Music and Art Generation with Machine Intelligence

  Language:Python19.2k3.7k

• google-deepmind/trfl

  TensorFlow Reinforcement Learning

  Language:Python3.1k386

• alan-turing-institute/CleverCSV

  CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

  Language:Python1.3k74

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.4k3.2k

• microsoft/computervision-recipes

  Best Practices, code samples, and documentation for Computer Vision.

  Language:Jupyter Notebook9.5k1.2k

• taku910/mecab

  Yet another Japanese morphological analyzer

  Language:C++938215

• omarsar/pytorch_notebooks

  A collection of PyTorch notebooks for learning and practicing deep learning

  Language:Jupyter Notebook131124

• deezer/spleeter

  Deezer source separation library including pretrained models.

  Language:Python25.9k2.8k

• tensortrade-org/tensortrade

  An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

  Language:Python4.6k1k

• Rachnog/Advanced-Deep-Trading

  Mostly experiments based on "Advances in financial machine learning" book

  Language:Jupyter Notebook543215

• BlackArbsCEO/Adv_Fin_ML_Exercises

  Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

  Language:Jupyter Notebook1.7k632

• chiphuyen/python-is-cool

  Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

  Language:Jupyter Notebook3.5k557

• dragen1860/TensorFlow-2.x-Tutorials

  TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

  Language:Jupyter Notebook6.4k2.2k

• sktime/sktime

  A unified framework for machine learning with time series

  Language:Python7.9k1.4k

• zaidalyafeai/Notebooks

  Machine learning notebooks in different subjects optimized to run in google collaboratory

  Language:Jupyter Notebook37281

• tensorflow/text

  Making text a first-class citizen in TensorFlow.

  Language:C++1.2k344

• firmai/industry-machine-learning

  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

  Language:Jupyter Notebook7.3k1.2k

• keras-team/keras-tuner

  A Hyperparameter Tuning Library for Keras

  Language:Python2.9k397

• microsoft/pyright

  Static Type Checker for Python

  Language:Python13.4k1.5k

• ciromattia/kcc

  KCC (a.k.a. Kindle Comic Converter) is a comic and manga converter for ebook readers.

  Language:Python2.8k221

• mihail911/nlp-library

  curated collection of papers for the nlp practitioner 📖👩‍🔬

  1.1k91

• google/dopamine

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  Language:Jupyter Notebook10.6k1.4k

• maxbbraun/eboygan

  StyleGAN + eBoy

  Language:Python5310

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook28k12.8k