Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch
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Jun 17, 2024 - Python
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conditional-computation
Here are 9 public repositories matching this topic...
[NeurIPS 24] MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks
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Nov 23, 2024 - Python
Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)
deep-learning pytorch neural-networks conditional-computation dynamic-convolutions conditional-execution dynamic-execution
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Jan 17, 2022 - Cuda
Mixture of Experts from scratch
python nlp machine-learning tutorial simple routing jupyter-notebook pytorch artificial-intelligence easy gating from-scratch small-dataset hands-on mixture-of-experts conditional-computation
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Apr 12, 2024 - Jupyter Notebook
Google DeepMind: Mixture of Depths Unofficial Implementation.
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May 29, 2024 - Python
Topological Manifold Control: A multi-paradigm (PyTorch/JAX) geometric morphing engine utilizing differentiable soft-gating, optimized via XLA fused kernels and autograd-isolated non-blocking pipelines.
pytorch autograd differential-geometry jit-compiler manifold-learning loss-functions mathematical-physics hypernetworks geometric-deep-learning pure-functional jax xla information-geometry conditional-computation cognitive-sciences optax stateless-architecture theoretical-ai alignment-system
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Jul 6, 2026 - Python
通过基于“滞后梯度博弈”的内生演化压力，替代传统 MoE 的外在负载均衡约束，实现神经网络拓扑结构的自组织特化与层级化
pytorch deeplearning interpretability multi-task-learning mixture-of-experts conditional-computation disentanglement-learning gradient-conflict
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Jan 12, 2026 - Python
Research pilot (dormant): can attention-residual signal learn per-input depth routing?
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May 29, 2026 - Python
Curated papers on dynamic neural networks, pruning, growing architectures, sparse training, and adaptive computation.
deep-learning pruning adaptive-computation conditional-computation dynamic-neural-network topology-adaptation dynamic-architectures
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Jun 6, 2026
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