Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-data-science-development
:robot: Awesome list of libraries, frameworks, softwares and tools used in data science.
https://github.com/praneshkrishnan/awesome-data-science-development
- NumPy _Multi Dimensional Array Processing_
- Scipy _Scientific Library for Python_
- Scikit-Learn _Machine Learning Library_
- Prefect _Data Automation_
- OpenCV
- Pillow
- FlashLight
- statsmodel _Statistical modeling and econometrics in Python_
- Numpy_ml _Machine Learning, in Numpy_
- HuggingFace _NLP Oriented & Model HuB_
- Augly _Data Augmentation_
- Cleverhans _Benchmark ML System to Adversarial Examples_
- Foolbox _Run adversarial attacks against ML models_
- Pytorch Video
- Flax
- What-If Tool
- H20 AutoML
- TorchServe (Experimental)
- KbServing
- Tensorflow Extended (TFX) _Google-production-scale ML platform_
- Apache Superset _Data Exploration and Visualization_
- Grafana
- Common Commands
- Virtualenv and pip
- EAST: An Efficient and Accurate Scene Text Detector CVPR 2017
- EasyOCR
- Top 5 OSS Library
- Forecasting: Principles and Practice
- Google Colab
- Deepnote
- Jupyter Lab
- Polynote
- A Beginner Guide's To Data
- Awesome Data
- Awesome Public Dataset
- Jupyter Docker _Data Science Notebooks in Docker image_
- Clean Code for Data Science Workflow
- Netron _Neural Network Visualization_
- Microservices
- Domain Driven Hexagon
- Representational State Transfer (REST) Architectural Style
- Github
- Stripe
- Github Actions
- CircleCI
- Datadog
- Javascript Object Notation (JSON)
- Base 64 Encoded String
- Learn CLI The Hard Way
- The Art Of Command Line
- Docker
- OAuth
- JSON Web Token (JWT)
- How to deal with breaking changes
- Keep a change log
- Semantic Versioning
- Readme.so _Easy to structure readme_
- MySQL
- PostgreSQL
- Naver Cloud
- Server Setup Guidelines
- Understanding ECMAScript 6 - [Github es6features](https://github.com/lukehoban/es6features#readme)|
- TypeScript From Scratch
- Awesome Typescript 1
- Awesome Typescript 2
- Electron
- Github Pages _Hosting with Github_
- Streamlit _Web Hosting with Python, focusing on Data Science_
- Thingsboard
- Designing Data Intensive Applications
- Rules for Machine Learning, Best Practices for ML Engineering
- Web Scraping With Python
- Practical AI on the Google Cloud Platform
- Full Stack Deep Learning
- Principle of Data Wrangling
- Python for Data Analysis
- Data Science Cheatsheet
- Data Cleaning
- Approaching Almost Any Machine Learning Problem
- Python For Finance
- Java Notes for Professionals
- MySQL_NotesForProfessional
- Awesome CS Courses
- The missing CS semester
- Deep Dive Into Modern Web Development
- Stanford Python Numpy Tutorial
- Cloudfare
- How HTTP works
- Practical Deep Learning for Coders
- Convolutional Neural Network for Visual Recognition CS231n
- Hugging Face Course
- Stanford NLP CS224n
- The NLP Pandect
- Qwiklabs _Hand On Cloud Training_
- NormCore Tech
- Linked In Engineering
- Dropbox Tech
- Uber Engineering Tech
- Github
- Microsoft
- Gojek Tech
- Netflix Tech
- fast.ai
- Google AI Blog
- Facebook AI
- Landing AI
- DeepMind AI
- Cleverhands _Security & Privacy in ML_
- DataRobot Wiki
- SOCAR (In Korean)
- ZZSZA (In Korean)
- Joma Tech
- 승지니어 Sengineer (In Korean)
Programming Languages
Keywords
machine-learning
7
python
6
awesome-list
4
pytorch
3
deep-learning
3
opendata
2
jax
2
typescript
2
jupyterlab-extension
2
datasets
2
image-processing
2
pandect
2
notebook
2
jupyterlab
2
microservices
2
awesome
2
visualization
2
nodejs
2
docker
2
cloud
2
kubernetes
2
javascript
2
data-science
2
lstm
2
data
2
wgan-gp
1
wavenet
1
vae
1
topic-modeling
1
resnet
1
reinforcement-learning
1
neural-networks
1
mfcc
1
knn
1
word2vec
1
benchmarking
1
security
1
adversarial-attacks
1
adversarial-examples
1
keras
1
tensorflow
1
colaboratory
1
ml-fairness
1
tensorboard
1
cpu
1
gpu
1
metrics
1
mlops
1
optimization
1
ml
1