| burn-ndarray cargo | 0.22.0 | clean | [Deprecated] Ndarray backend for the Burn framework - use burn-flex, burn-cuda, burn-rocm, or burn-wgpu instead | 2M | 1d ago |
| burn-autodiff cargo | 0.22.0 | clean | Automatic differentiation backend for the Burn framework | 1M | 1d ago |
| cubecl-runtime cargo | 0.11.0 | clean | The runtime API of CubeCL: clients, devices, handles and everything a kernel launch needs. | 1M | 1d ago |
| burn-ir cargo | 0.22.0 | clean | Intermediate representation for the Burn framework | 1M | 1d ago |
| burn-fusion cargo | 0.22.0 | clean | Kernel fusion backend decorator for the Burn framework | 1M | 1d ago |
| burn-router cargo | 0.22.0 | clean | Multi-backend router decorator for the Burn framework | 1M | 1d ago |
| burn-dataset cargo | 0.22.0 | clean | Library with simple dataset APIs for creating ML data pipelines | 1M | 1d ago |
| burn-tch cargo | | not built 0.22.0 did not build | [Deprecated] LibTorch backend for the Burn framework - use burn-cuda, burn-rocm, burn-wgpu, burn-cpu, or burn-flex instead | 748K | 22h ago |
| burn-backend cargo | 0.22.0 | clean | Core backend interfaces and data structures for executing tensor operations in Burn. | 558K | 1d ago |
| burn-remote cargo | 0.22.0 | clean | Backend router decorator over the network. | 319K | 1d ago |
| burn-flex cargo | 0.22.0 | clean | A fast, portable CPU backend for the Burn framework | 250K | 1d ago |
| xn cargo | 0.2.10 | clean | Another minimalist deep-learning framework optimized for inference. | 12K | 1d ago |
| onednn-src cargo | | not built 0.1.19 did not build | Source of oneAPI Deep Neural Network Library (oneDNN) | 8.0K | 1d ago |
| burn-pack cargo | 0.22.0 | clean | The burnpack binary serialization format for Burn | 7.4K | 1d ago |
| rust-lstm cargo | 0.10.0 | clean | A complete LSTM neural network library with training capabilities, multiple optimizers, and peephole variants. | 3.5K | 1d ago |
| ruda-tensor cargo | 0.21.32 | clean | Ruda tensor operations, backend contracts, and framework-facing primitives. | 1.6K | 2h ago |
| cubecl-server cargo | 0.11.0 | clean | Toolkit for implementing a CubeCL runtime: memory pools, streams, drivers and the compilation pipeline. | 1.6K | 1d ago |
| t4a-cubecl-runtime cargo | 0.10.2 | clean | Temporary tensor4all fork of CubeCL runtime support | 1.1K | 1d ago |
| ruda-model cargo | 0.21.38 | clean | Ruda model configuration, module parameters, records and data loading. | 818 | 1h ago |
| ruda-fusion cargo | 0.21.30 | clean | Tensor operation fusion planning, registration and execution for Ruda. | 791 | 1h ago |
| ruda-tensor-tch cargo | | not built 0.21.43 did not build | Ruda LibTorch tensor backend using the tch bindings. | 604 | 1h ago |
| ruda-tensor-router cargo | 0.21.31 | clean | Ruda multi-backend tensor routing. | 560 | 1h ago |
| ruda-nn cargo | 0.21.45 | clean | Ruda neural network layers, activation modules and losses. | 551 | 12m ago |
| ruda-store cargo | 0.21.37 | clean | Ruda model storage, tensor snapshots and serialization formats. | 498 | 8m ago |
| ruda-tensor-wgpu cargo | 0.21.30 | clean | Ruda WGPU tensor device adapter. | 458 | 1h ago |
| ruda-tensor-remote cargo | 0.21.30 | clean | Ruda remote tensor execution over the communication layer. | 441 | 1h ago |
| ruda-tensor-rocm cargo | 0.21.30 | clean | Ruda ROCm HIP tensor device adapter. | 416 | 58m ago |
| ruda-dataset cargo | 0.21.4 | clean | Library with simple dataset APIs for creating ML data pipelines | 393 | 21h ago |
| ruCCL cargo | 0.21.34 | clean | Ruda collective communication algorithms and orchestration. | 391 | 58m ago |
| ruda-autodiff cargo | 0.21.34 | clean | Automatic differentiation graphs, gradients and recomputation for Ruda tensors. | 389 | 36m ago |
