carefree0910 / carefree-ml
carefree-ml implemented Machine Learning algorithms with numpy, mainly for educational use
☆33Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for carefree-ml
- A collection of model deployment library and technique.☆73Updated 4 years ago
- Markdown <=> IPython Notebook☆19Updated 2 years ago
- Colab notebooks for d2l-book☆11Updated 4 years ago
- ☆68Updated 5 years ago
- This repo has moved to https://github.com/INRIA/scikit-learn-mooc/☆41Updated 4 years ago
- a simple deep learning framework implemented from scratch using Python.☆34Updated 4 years ago
- Implementing activation functions from scratch in Tensorflow.☆36Updated 2 years ago
- ☆82Updated 3 years ago
- Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.☆64Updated 4 months ago
- Implement classic machine learning algorithms from scratch☆14Updated 4 years ago
- A simple middleware to improving GPU utilization then speedup online inference.☆19Updated 3 years ago
- A super light-weight deep learning library based on NumPy in PyTorch fashion.☆93Updated 3 years ago
- “云上炼丹师”中的云☆67Updated 3 years ago
- 200行写一个自动微分工具☆49Updated 5 years ago
- Learn Computer Vision The Hard Way,通过实际案例来学习计算机视觉。☆73Updated 4 years ago
- A lightweight deep learning library☆375Updated last year
- ♊ Stanford CS230 : Deep Learning☆15Updated 5 years ago
- Automatically Generated Notebooks for Colab☆60Updated last year
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆37Updated 3 years ago
- ☆35Updated 4 years ago
- Deep Learning in pure C++☆26Updated 4 years ago
- TensorFlow 2.* exercises from the book "Deep Learning with Python" by François Chollet☆45Updated 3 years ago
- Super-Machine-Learning-Revision-Notes☆76Updated 5 years ago
- A curated list of AutoML papers/tutorials/slides etc.☆90Updated 5 years ago
- 使用tensorflow.keras实现《动手学深度学习》☆10Updated 4 years ago
- Keras深度学习代码,一切大事必做于细!☆14Updated 5 years ago
- This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for …☆77Updated 5 years ago
- ☆31Updated 5 years ago
- implement minimal pytorch from scratch☆18Updated 3 years ago
- slides for deep learning courses☆19Updated 3 years ago