petronav

petronav's Stars

• huggingface/transformers

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

  Language:Python133k1.1k15.9k26.7k

• Asabeneh/30-Days-Of-Python

  30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

  Language:Python42k8121428k

• mingrammer/diagrams

  :art: Diagram as Code for prototyping cloud system architectures

  Language:Python37.5k4055002.4k

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python30.1k2195472.7k

• academic/awesome-datascience

  :memo: An awesome Data Science repository to learn and apply for real world problems.

  25k1.4k555.9k

• spmallick/learnopencv

  Learn OpenCV : C++ and Python Examples

  Language:Jupyter Notebook21.2k88231911.6k

• jbhuang0604/awesome-computer-vision

  A curated list of awesome computer vision resources

  20.9k1.2k254.2k

• FavioVazquez/ds-cheatsheets

  List of Data Science Cheatsheets to rule the world

  14.5k537173.8k

• kjw0612/awesome-deep-vision

  A curated list of deep learning resources for computer vision

  10.8k1.1k282.8k

• TencentARC/PhotoMaker

  PhotoMaker [CVPR 2024]

  Language:Jupyter Notebook9.4k103161753

• chiphuyen/machine-learning-systems-design

  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

  Language:HTML9k301101.4k

• openlm-research/open_llama

  OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

  7.4k12191375

• MrMimic/data-scientist-roadmap

  Toturials coming with the "data science roadmap" picture.

  Language:Jupyter Notebook7k317121.9k

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.6k12730490

• jonathan-bower/DataScienceResources

  Open Source Data Science Resources.

  4.1k40081.5k

• cheesecakeufo/komorebi

  A beautiful and customizable wallpapers manager for Linux

  Language:Vala3.4k63376236

• progrium/localtunnel

  Expose localhost servers to the Internet

  Language:Go3.2k80101242

• YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy

  Diffusion model papers, survey, and taxonomy

  2.9k538247

• tirthajyoti/Data-science-best-resources

  Carefully curated resource links for data science in one place

  2.9k1192980

• manna-harbour/miryoku

  Miryoku is an ergonomic, minimal, orthogonal, and universal keyboard layout.

  Language:Makefile2.7k2933130

• Stability-AI/stability-sdk

  SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)

  Language:Jupyter Notebook2.4k69112340

• n00mkrad/cupscale

  Image Upscaling GUI based on ESRGAN

  Language:C#2.1k48149111

• EmpireMediaScience/A1111-Web-UI-Installer

  Complete installer for Automatic1111's infamous Stable Diffusion WebUI

  Language:PowerShell1.8k350211

• gpoore/minted

  minted is a LaTeX package that provides syntax highlighting using the Pygments library. Highlighted source code can be customized using fancyvrb.

  Language:TeX1.7k20405126

• invictus717/MetaTransformer

  Meta-Transformer for Unified Multimodal Learning

  Language:Python1.5k2167112

• IBM/MAX-Image-Resolution-Enhancer

  Upscale an image by a factor of 4, while generating photo-realistic details.

  Language:Python9894826161

• kkoomen/qbr

  A webcam-based 3x3x3 rubik's cube solver written in Python 3 and OpenCV.

  Language:Python605232297

• PsorTheDoctor/artificial-intelligence

  AI projects in python, mostly Jupyter notebooks.

  Language:Jupyter Notebook18013146

• robgon-art/MachineRay

  This is a project that uses AI to create abstract art. It is released under the CC BY-NC-SA license. See License.txt for details.

  Language:Jupyter Notebook923327

• Courses-Completed/IBM-Data-Science

  Respository of the practical assigments of the course IBM Data Science from coursera

  381142