sarmstr5

sarmstr5's Stars

• Tobuss/Lews-Therin-Bot

  Quotes bot for WetlanderHumor subreddit

  Language:Python71

• WebMaka/AutoTranscode

  Automatic FFMPEG Transcoding Handler Script

  Language:Python13

• huggingface/transformers

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

  Language:Python134k26.7k

• Azure/Azure-TDSP-ProjectTemplate

  TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.

  Language:R533440

• markmcintyre/pihole-eink-display

  A simple Python script to display PiHole statistics on an eInk Display

  Language:Python735

• cipher387/osint_stuff_tool_collection

  A collection of several hundred online tools for OSINT

  Language:HTML5.4k613

• swagkarna/osint_social

  A collection of several hundred online tools for OSINT

  243

• PrefectHQ/prefect

  Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

  Language:Python16.1k1.6k

• wavebitscientific/ndbc

  A Python interface to National Data Buoy Center

  Language:Python139

• lkilcher/cdip

  A repository for working with cdip.ucsd.edu data

  Language:Python21

• viraptor/reverse-interview

  Questions to ask the company during your interview

  27.6k2.1k

• soumith/ganhacks

  starter from "How to Train a GAN?" at NIPS2016

  11.4k1.7k

• dennybritz/deeplearning-papernotes

  Summaries and notes on Deep Learning research papers

  4.4k904

• LantaoYu/SeqGAN

  Implementation of Sequence Generative Adversarial Nets with Policy Gradient

  Language:Python2.1k712

• dunovank/jupyter-themes

  Custom Jupyter Notebook Themes

  Language:CSS9.8k1.1k

• slimkrazy/python-google-places

  Simple wrapper around the new 'experimental' Google Places API

  Language:Python461168

• borisbanushev/stockpredictionai

  In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

  4.2k1.7k

• m-wrzr/populartimes

  Language:Python831168

• Nikhil-Kasukurthi/Counting-people-video

  Counting the number of people in a video.

  Language:Python6519

• inoryy/reaver

  Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

  Language:Python55490

• psf/requests

  A simple, yet elegant, HTTP library.

  Language:Python52.1k9.3k

• remicnrd/ml_cheatsheet

  A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood

  1.4k219

• astropy/pytest-remotedata

  Pytest plugin to control whether tests are run that have remote data

  Language:Python2315

• cicdw/pybip

  Language:Python2

• Fewbytes/rubber-docker

  A workshop on Linux containers: Rebuild Docker from Scratch

  Language:Python3k237

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript295k39k

• flamusdiu/python-pia

  Commandline tool to auto configure PIA services

  Language:Python429

• yell/boltzmann-machines

  Boltzmann Machines in TensorFlow with examples

  Language:Jupyter Notebook847134

• thedaviddias/Front-End-Checklist

  🗂 The perfect Front-End Checklist for modern websites and meticulous developers

  68.9k6.4k

• numerical-mooc/numerical-mooc

  A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

  Language:Jupyter Notebook8901.5k