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Your GeForce runs AI at half speed. This fixes it for 20/30/40 series cards. Up to 2× FP16 / BF16 / TF32 tensor throughput

GPU tensor unlock source for RTX 4090 and experimental RTX 4070 Ti SUPER; firmware generated locally

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

Tensor library for machine learning

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

A python library for quantum information and many-body calculations including tensor networks.

Relax! Flux is the ML library that doesn't make you tensor

A Julia package for large-scale tensor computations, with a hint of category theory

Tensor Network Python (TeNPy)

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

A fast Clojure Tensor & Deep Learning library

A Julia library for efficient tensor computations and tensor network calculations. ITensors.jl is supported by the Simons Foundation's Flatiron Institute.

The V Tensor Library

Rust Scientific Library. ODE, DAE, and PDE solvers. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers. Probability distributions. Tensor analysis. Numerical continuation.

TOD: GPU-accelerated Outlier Detection via Tensor Operations

OpenEquivariance: a fast, open-source GPU JIT kernel generator for the Clebsch-Gordon Tensor Product.

Open-source, cloud-native transactional tensor storage engine

RapidLLM is an LLM inference framework with continuous batching, tensor and data parallelism, quantized weights, and with pluggable Triton/CUDA kernels.

cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffDock, MACE, Allegro and NEQUIP, based on equivariant neural networks. Also includes kernels for accelerated structure prediction.

AI Tensor Engine for ROCm

Tensor Fusion is a state-of-the-art GPU virtualization and pooling solution designed to optimize GPU cluster utilization to its fullest potential.

[NeurIPS 2025 Spotlight] TPA: Tensor ProducT ATTenTion Transformer (T6) (https://arxiv.org/abs/2501.06425)

CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for CUDA kernel optimization, focusing on tile-based computation patterns and optimizations targeting NVIDIA tensor core units.

nCPU: model-native and tensor-optimized CPU research runtimes with organized workloads, tools, and docs

Tensor's VLA Training Infrastructure for Real-World Robotics in PyTorch

A pure-Python implementation of the Nvidia CuTe layout algebra intended to be approachable and easy to learn.

Experimental NVIDIA tensor-compute unlock research: guarded TU102 initramfs port, offline tests, and Ampere reproduction notes