Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Python Data Science Handbook: full text in Jupyter Notebooks
A smarter cd command. Supports all major shells.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
An image loading and caching library for Android focused on smooth scrolling
Visualizer for neural network, deep learning and machine learning models
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 learning.
The fundamental package for scientific computing with Python.
JumpServer is an Open-source Privileged Access Management (PAM) platform with AI-powered capabilities, providing DevOps and IT teams a unified workspace to securely access SSH, RDP, Kubernetes, databases, websites, RemoteApp, VirtualApp, and more.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
TranslatedPumpkin Book (南瓜书, Nangua Shu): Detailed explanations of the formulas in "Machine Learning" (the Watermelon Book, 西瓜书)
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
The easiest, and most secure way to access and protect all of your infrastructure.
TranslatedAbu Quantitative Trading System (stocks, options, futures, Bitcoin, machine learning) An open-source quantitative trading and quantitative investment architecture based on Python
Playground (and dump) of stuff I make or modify for the Flipper Zero
z - jump around
A cd command that learns - easily navigate directories from the command line
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
An awesome README template to jumpstart your projects!
Machine learning, in numpy
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
100 numpy exercises (with solutions)