asrimanth

asrimanth's Stars

• torvalds/linux

  Linux kernel source tree

  Language:C184k7.8k054.4k

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript120k2.1k10514.8k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python60.5k2.1k11.3k25.5k

• poteto/hiring-without-whiteboards

  ⭐️ Companies that don't have a broken hiring process

  Language:JavaScript46.7k86703.6k

• plotly/dash

  Data Apps & Dashboards for Python. No JavaScript Required.

  Language:Python21.7k4271.8k2.1k

• jbhuang0604/awesome-computer-vision

  A curated list of awesome computer vision resources

  21.1k1.2k264.2k

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.8k594304k

• plotly/plotly.py

  The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

  Language:Python16.4k2763k2.6k

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook11.4k1192073.3k

• mdbootstrap/material-design-for-bootstrap

  Important! A new UI Kit version for Bootstrap 5 is available. Access the latest free version via the link below.

  Language:JavaScript9.3k2982411.1k

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML9k225162k

• mage-ai/mage-ai

  🧙 Build, run, and manage data pipelines for integrating and transforming data.

  Language:Python8k62884781

• XPixelGroup/BasicSR

  Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

  Language:Python7k905641.2k

• khanhnamle1994/cracking-the-data-science-interview

  A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

  Language:Jupyter Notebook3.7k7521k

• andrewekhalel/MLQuestions

  Machine Learning and Computer Vision Engineer - Technical Interview Questions

  3.1k282514

• vinceliuice/Orchis-theme

  Orchis is a [Material Design](https://material.io) theme for GNOME/GTK based desktop environments.

  Language:SCSS3.1k23456217

• EliverLara/candy-icons

  :lollipop: Sweet gradient icons

  1.1k24496118

• cszn/USRNet

  Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

  Language:Python8683931115

• vinceliuice/Matcha-gtk-theme

  Matcha is a flat Design theme for GTK 3, GTK 2 and Gnome-Shell

  Language:CSS7632220767

• yjn870/SRCNN-pytorch

  PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)

  Language:Python553722124

• The-Learning-And-Vision-Atelier-LAVA/ArbSR

  [ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution

  Language:Python306112240

• plotly/dash-core-components

  OBSOLETE: now part of https://github.com/plotly/dash

  Language:Python27157500146

• EliverLara/Sweet-folders

  21851220

• emirhanai/Cryptocurrency-Prediction-with-Artificial-Intelligence

  First Version.. Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT

  Language:Jupyter Notebook14211459

• tinkerdeep/invent-prediction

  Model to accurately forecast inventory demand based on historical sales data.

  Language:Jupyter Notebook581118

• vinceecws/SegNet_PyTorch

  PyTorch implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

  Language:Jupyter Notebook582415

• Lornatang/VDSR-PyTorch

  PyTorch implements "Accurate Image Super-Resolution Using Very Deep Convolutional Networks"

  Language:Python541618

• Mnster00/simplifiedUnetSR

  A modified Unet for single image super resolution

  Language:Python19103

• j-sripad/Roof_segmentation

  AIRS roof segmentation

  Language:Jupyter Notebook3201

• Bharathbrothers/LeetCode

  💡 LeetCode in C++/Python (respect coding convention)

  Language:C++220