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3d-computer-vision-research

Collect data sets and research papers in the field of 3D computer vision tasks with implemented repositories.

abide_contrastive_graph_learning

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

atcoder_training

Python solutions for https://kenkoooo.com/atcoder/#/training

awesome-jax

JAX - A curated list of resources https://github.com/google/jax

awesome-mlops

A curated list of references for MLOps

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesomeanimeresearch

Papers, repository and other data about anime or manga research. Please let me know if you have information that the list does not include.

braintumourseg

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification.

emkd

The code of IEEE TMI paper Efficient Medical Image Segmentation Based on Knowledge Distillation

geopandas

Python tools for geographic data

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

keras-contrib

Keras community contributions

kubernetes_django_postgres_redis

A Django/Postgres/Redis Kubernetes Template

kuma_utils

Something may or may not help you with data analysis and competitions

low-level-design-primer

Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.

machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

made-mistakes-jekyll

Source for my website and blog (Jekyll + Gulp + Netlify)

medicalzoopytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

migcl_code

Code for MiGCL: Multi-granular Contrastive Learning for Self-supervised Pre-training

ml-deployment-gke

In this project I'll create a CI/CD pipeline to deploy a Machine Learning model in Google Kubernetes Engine

ml-pen-and-paper-exercises

Pen and paper exercises in machine learning

ml-pipeline

Using Kafka-Python to illustrate a ML production pipeline

ml-system-design-pattern

System design patterns for machine learning

moocs-dropout-prediction

MOOCs Dropout Prediction using KDD cup 2015 data

ocr_async_service

opencv

Open Source Computer Vision Library

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more