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Discover 4,064 open source projects
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asavinov/intelligent-trading-bot
An intelligent trading bot that generates signals and trades using machine learning and feature engineering.
dair-ai/Transformers-Recipe
A guide to learn about Transformer models, a foundational architecture for natural language processing.
openai/evolution-strategies-starter
Open-source codebase for a paper on using evolution strategies for scalable reinforcement learning.
samanthaming/Flexbox30
A tutorial to learn Flexbox, a powerful CSS layout module, with 30 code examples.
opsschool/curriculum
Ops School Curriculum is a resource for learning infrastructure and operations concepts, built with Python and Sphinx.
Sroy20/machine-learning-interview-questions
This repository contains a collection of machine learning interview questions for developers to prepare for interviews.
justmarkham/DAT8
General Assembly's 2015 Data Science course covering topics like machine learning, data analysis, and data visualization.
scikit-learn-contrib/boruta_py
Python implementations of the Boruta all-relevant feature selection method for machine learning
DT42/BerryNet
A deep learning gateway for Raspberry Pi and other edge devices, enabling AI inference at the edge.
matcornic/hugo-theme-learn
A Hugo theme that provides a simple and elegant way to build documentation websites.
Xtra-Computing/thundersvm
A fast and scalable SVM library for classification and regression tasks on GPUs and CPUs.
chaseSpace/k8s-tutorial-cn
Comprehensive Kubernetes tutorials in Chinese to help developers learn and deploy K8s applications.
langfengQ/verl-agent
verl-agent is a Python framework for training LLM/VLM agents using reinforcement learning.
microsoft/onnxruntime-inference-examples
Examples for using ONNX Runtime for machine learning inferencing.
hadley/stats337
A collection of readings and resources for applied data science in R, useful for teaching and learning.
cdipaolo/goml
On-line Machine Learning library in Go for building AI-powered applications.
mahmoodlab/CLAM
Open-source tools for computational pathology and digital pathology research using deep learning and weakly-supervised learning.
datamade/usaddress
A Python library for parsing unstructured US addresses into structured address components.
aws-samples/aws-machine-learning-university-accelerated-cv
A Jupyter Notebook-based course on accelerated computer vision using AWS Machine Learning University.
pavlin-policar/openTSNE
Extensible, parallel implementations of the popular t-SNE dimensionality reduction algorithm for data visualization.
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