atifaA's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
karanpratapsingh/system-design
Learn how to design systems at scale and prepare for system design interviews
karpathy/LLM101n
LLM101n: Let's build a Storyteller
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
seanprashad/leetcode-patterns
A pattern-based approach for learning technical interview questions
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
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.
xinntao/ESRGAN
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
huggingface/diffusion-models-class
Materials for the Hugging Face Diffusion Models Course
microsoft/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
ufoym/imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
GoogleCloudPlatform/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
lidatong/dataclasses-json
Easily serialize Data Classes to and from JSON
glouppe/info8010-deep-learning
Lectures for INFO8010 Deep Learning, ULiège
edwardleardi/mle-ds-swe-cheat-sheets
apple/ml-no-token-left-behind
stroking-fishes-ml-corp/A-ESRGAN
[PRICAI 2023] A-ESRGAN aims to provide better super-resolution images by using multi-scale attention U-net discriminators.
BstLabs/py-dynacli
DynaCLI is a cloud-friendly Python library for converting pure Python functions into Linux Shell commands.
RaoUmer/SRResCGAN
Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).
canturan10/satellighte
📡 PyTorch Lightning Implementations of Recent Satellite Image Classification !
ShiQiu0419/DRNet
Dense-Resolution Network for Point Cloud Classification and Segmentation (WACV 2021)
BstLabs/py-jdict
JavaScript-like Python dictionary
ettelephonne/ESRGAN-Haralick
Some codes used for a paper called "Model specialization for the use of ESRGAN on satellite and airborne imagery"