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A comprehensive machine learning glossary and cheatsheet for data scientists and AI developers.
A machine learning toolkit for time series analysis and classification in Python.
A tutorial repository for learning deep learning with PyTorch, covering topics like CNNs, GANs, and RNNs.
This repository provides resources and implementations of Generative Adversarial Nets, a powerful machine learning technique.
High-performance machine learning package for Python and CLI interface
The Rubinius Language Platform is a virtual machine and programming language implementation.
A comprehensive interview prep resource for AIGC, LLM, and AI-related engineering roles.
Desktop tool for managing virtual machines via libvirt, not focused on AI coding tools.
Open-source tools for prompt testing and experimentation with LLMs and vector databases.
Provides a Docker installer for developers in China to easily set up Docker on their machines.
A comprehensive Go statistics library with no dependencies for data analysis and machine learning.
A toolkit for creating, sharing, and using natural language prompts for machine learning tasks.
A neural network visualization toolkit for the Keras deep learning framework.
Automatically updates bib entries with official information.
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model
Fast and efficient library for computer vision and other machine learning workloads, built on PyTorch.
A Python library for evaluating the performance of neural networks for object detection.
NMA Computational Neuroscience course content for vibe coders
A collection of Python tutorials covering a wide range of topics from computer vision to network security.
A curated list of awesome resources on transformers in time series analysis, forecasting, and more.
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