dimitrisppt

dimitrisppt's Stars

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python184k5.9k1.5k44.3k

• huggingface/transformers

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

  Language:Python132k1.1k15.7k26.3k

• nomic-ai/gpt4all

  GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

  Language:C++69.1k6381.8k7.6k

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.5k55870910.1k

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala62.1k34597312.2k

• gpt-engineer-org/gpt-engineer

  Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

  Language:Python52k5064756.8k

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python34.7k3422.7k4k

• chenfei-wu/TaskMatrix

  Language:Python34.5k3003523.3k

• reflex-dev/reflex

  🕸️ Web apps in pure Python 🐍

  Language:Python19.1k1501.6k1.1k

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python18.6k1324081.4k

• ml-tooling/best-of-ml-python

  🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

  16.3k408552.4k

• jordan-cutler/path-to-senior-engineer-handbook

  All the resources you need to get to Senior Engineer and beyond

  12.9k23071.2k

• Avaiga/taipy

  Turns Data and AI algorithms into production-ready web applications in no time.

  Language:Python11.3k73738798

• DataExpert-io/data-engineer-handbook

  This is a repo with links to everything you'd ever want to learn about data engineering

  10.3k24371.4k

• twitter/the-algorithm-ml

  Source code for Twitter's Recommendation Algorithm

  Language:Python10.1k101382.2k

• astriaai/headshots-starter

  Language:TypeScript3.8k2046632

• Financial-Times/chart-doctor

  Sample files to accompany the FT's Chart Doctor column

  Language:HTML3k2228491

• scikit-learn-contrib/MAPIE

  A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

  Language:Jupyter Notebook1.3k15248102

• automl/TabPFN

  Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

  Language:Python1.2k1679106

• OpenAstroTech/OpenAstroTracker

  3D printed DSLR tracking mount

  Language:OpenSCAD9627953121

• nimashahbazi/optiver-trading-close

  Language:Jupyter Notebook39610091

• rkaczorek/astroberry-server

  Astroberry Server is a ready to use system for Raspberry Pi for controlling all your astronomy equipment

  2663022919

• G-Research/fasttrackml

  Experiment tracking server focused on speed and scalability

  Language:Go971443318

• BenJuan26/OpenSkyStacker

  Multi-platform stacker for deep-sky astrophotography.

  Language:C++95143614

• maxmekiska/imbrium

  Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.

  Language:Python60315

• msproul/AlpacaPi

  Astronomy control software using Alpaca protocol on the Raspberry Pi

  Language:C++471138

• sajmons/CollimationCircles

  Collimation Circles is application for precise telescope collimation

  Language:C#402182

• BHafsa/deep-nilmtk-v1

  Deep-NILMtk is an open source package designed specifically for deep models applied to solve NILM. It implements the general NILM pipeline independently of the deep learning backend. In its current version the toolkit considers two of the most popular deep learning pipelines. The training and testing phases are fully compatible with NILMtk. Several

  Language:Jupyter Notebook23436

• seeing-things/point

  Python package supporting Celestron NexStar and Gemini 2 telescope mount computer command sets.

  Language:Python2243116

• nforrester/NexPlane

  Track airplanes and satellites using a Celestron NexStar telescope

  Language:Python165