Solve puzzles. Improve your pytorch.
- machine-learning
- puzzle
- torch
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🙌 Welcome open-source Python mini-project contributions!
- python
- python-mini-projects
- data-science
- data-visualization
A curated list of awesome data labeling tools
- image-annotation
- video-annotation
- audio-annotation-tool
- audio-annotation
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Hacker News clone rewritten with universal JavaScript, using React and GraphQL.
A curated list of papers & resources linked to 3D reconstruction from images.
- computer-vision
- 3d-reconstruction
- motion-estimation
- awesome-list
Pre-trained Deep Learning models and demos (high quality and extremely fast)
- models
- caffemodel
- demo
- tensorflow-models
A curated list of reinforcement learning with human feedback resources (continually updated)
- deep-learning
- deep-reinforcement-learning
- human-feedback
- reinforcement-learning
MiniOB is a compact database that assists developers in understanding the fundamental workings of a database.
- database
- learn-to-database
- mini-database
- classroom
A description of the conceptual model of React without implementation burden.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
TranslatediOS 9 adaptation tutorial series (iOS development study and discussion group: https://github.com/ChenYilong/iOSBlog/issues/21)
A community driven style guide for Elixir
- elixir
- styleguide
- style-guide
- elixir-lang
TranslatedChinese translation of the Spring Boot Reference Guide - "Spring Boot Reference Guide" (《Spring Boot参考指南》)
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Summaries and notes on Deep Learning research papers
Data Science Roadmap from A to Z
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
- deep-learning
- coursera
- coursera-assignment
- coursera-specialization
Translated:smiley_cat: Cat's front-end memoir. Cat's front memory, these share data are from my usual work and learning, hoping to help you, and hoping slowly improve, if you like you can star
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
- machine-learning
- predictive-modeling
- islr
- statistical-learning
Curated list of awesome things related to Deno
TranslatedNew Concept English (《新概念英语》), all four books: online text reading aloud, sentence-by-sentence tap-to-read, Chinese-English bilingual comparison
- english
- nce
- learn
TranslatedA hardcore computer science (CS) self-study plan, geared toward software engineering and system architecture
- computer-science
- self-taught
- csapp
- software-engineering
Plain python implementations of basic machine learning algorithms
- machine-learning
- logistic-regression
- ipynb
- machine-learning-algorithms