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All Algorithms implemented in Python
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Open source code for AlphaFold 2.
An educational resource to help anyone learn deep reinforcement learning.
Open source software that helps you create and deploy high-frequency crypto trading bots
CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
Social reading and reviewing, decentralized with ActivityPub
Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
The NES Music Database: use machine learning to compose music for the Nintendo Entertainment System!
Use deep learning to generate and harmonize music in the style of Bach
COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
Classification - Machine Learning This is ‘Classification’ tutorial which is a part of the Machine Learning course offered by Simplilearn. We will learn Classification algorithms, types of classifi…
Creates species counterpoint using genetic algorithms (in Python).
基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。
Simple Text Classfication using SVM and Naive Bayes
God's algorithm for Rubik's Cube in Python. Solve the cube with the smallest possible number of moves.
HOUDINI: Lifelong Learning as Program Synthesis
Brownian dynamics simulations of a Rouse polymer driven by correlated active forces