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Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
A C++ standalone library for machine learning
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
An Engine-Agnostic Deep Learning Framework in Java
JAX - A curated list of resources https://github.com/google/jax
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
Deep learning with spiking neural networks (SNNs) in PyTorch.
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