Autonomous coding agent CLI - capable of creating/editing files, running commands, using the browser, and more
Common utility methods used by Tensor.
Topological indexing for simplicial complexes
CLI for Tuned Tensor — fine-tune and evaluate LLMs from the command line
ave: a fork of pi-coding-agent (coding agent CLI with read/bash/edit/write tools and session management)
Tiny TypeScript-native tensor library with autograd, compiling to WebGPU. Train small models in the browser without hand-writing kernels, or run a pretrained one frozen for transfer learning.
Common TEST utility methods used by Tensor.
LLM-Augmented Declarative Execution
Computational framework for exploring unified physics through tensor formalism
A trainable Hidden Markov Model with Gaussian emissions using TensorFlow.js
0D/1D/2D/3D/4D tensors with extensible polymorphic operations and customizable storage
Anchor/JS SDK for interacting with TensorSwap, TensorWhitelist and TensorBid.
PyTorch like deep learning inferrence library
Your one-stop-shop for your NFT needs.
PyTorch-like JavaScript tensor/autograd library with CPU training support. Provides Tensor, autograd, nn.Module, Linear, Conv2d, Adam optimizer, and MNIST dataset utilities.
Stateful single-token anchored file editing (Dirac-style). MCP server via `anchor-edit mcp`.
Evaluate the Dirac delta function.
Torch-like deep learning framework for Javascript
A toy library for building simple neural networks which can be serialized to compact JSON.
stockshark-tensor
Read and write tensor protobufs from Javascript multidimensional arrays.
Anchor/JS SDK for interacting with TCOMP.
Create an iterator which evaluates the Dirac delta function for each iterated value.
implements tensor contraction on a single mixed tensor