calls MegEngine “when you want a fast, scalable DL framework with automatic differentiation in C++/Python.”
A WebGL accelerated JavaScript library for training and deploying ML models.
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These projects were analysed and named MegEngine among their alternatives. The relationship is not symmetric — how MegEngine rates them is a separate judgement, made when MegEngine is analysed in its own right.
calls MegEngine “when you want a fast, scalable DL framework with automatic differentiation in C++/Python.”
A WebGL accelerated JavaScript library for training and deploying ML models.
calls MegEngine “Choose when you need a C++/Python DL framework with integrated training and deployment.”
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
calls MegEngine “When you need a framework optimized for heterogeneous hardware and easy model deployment.”
CoreNet: A library for training deep neural networks
calls MegEngine “choose if you want a PyTorch-like framework with Chinese-first docs and are willing to use a codebase that is no longer actively maintained (last push >18 months).”
Tensors and Dynamic neural networks in Python with strong GPU acceleration
calls MegEngine “An older DL framework; choose if you need its distributed training features but note it's been stale for over a year.”
Deep Learning for humans
calls MegEngine “choose only if you need a historical Chinese deep learning framework, but it is largely unmaintained and stale”
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.