FMA: A Dataset For Music Analysis
- dataset
- music-analysis
- music-information-retrieval
- deep-learning
73,862 visible repositories in the index
337–360 of 550 · Most stars
FMA: A Dataset For Music Analysis
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Repository for benchmarking graph neural networks (JMLR 2023)
Puzzles for learning Triton
computer vision projects | 计算机视觉相关好玩的AI项目(Python、C++、embedded system)
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
The repository host gives no description.
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
Machine learning lessons and teaching projects designed for engineers
Files for Udemy Course on Algorithms and Data Structures
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Algorithms for outlier, adversarial and drift detection
动手学Ollama,CPU玩转大模型部署,在线阅读地址:https://datawhalechina.github.io/handy-ollama/
Efficient neural feature detector and descriptor
Simplified implementations of deep learning related works