Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)
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Updated
Mar 24, 2023 - Python
Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)
Learn Triton by building FlashAttention from scratch — V2 kernels, persistent threads, mask DSL, profiling toolkit, bilingual docs
200 lines Flash Attention (only forward pass) in CUDA.
NumPy-only CNN implementation - Implements conv2d, ReLU, maxpool2d, flatten, dense, softmax and backpropagating from scratch
LSTM cell forward propagation implemented in Excel formulas across three linked worksheets.
Bumblebee, Axon, and Nx adapter layer for compiling Crucible tap plans into model runs, hooks, traces, and decode steering.
Tap-plan and probe-contract library for selecting, bounding, and negotiating model-internal forward-pass observations.
Bounded forward-pass trace schema and persistence helpers for Crucible signal captures, layer trajectories, and decode telemetry.
In this repository is a programm with a pretrained artificial neural network from Building AI. The network predicts the price of a cabin based on it's attributes.
Routing, gating, fusion, uncertainty, verifier, shared memory, and steering decision contracts over Crucible signal traces.
NumPy implementation of Word2Vec Skip-Gram with Negative Sampling. Trains word embeddings from raw text with manual forward pass, negative sampling loss, gradients, and SGD.
Canonical Elixir signal ontology for transformer forward-pass artifacts, tensor summaries, capabilities, and internal-control surfaces.
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