Possibly Available
I'm an Independent ML Researcher currently focusing on the development of AGI
arch_eval is a high-level library for efficient architecture evaluation of machine learning models. It provides a unified interface for training, benchmarking, and hyperparameter optimization with features like distributed training, mixed precision, and real-time visualization.
PyTorch implementation of the current SOTA Transformer. Configurable, efficient, and HuggingFace-compatible, serving as a baseline for research, benchmarking, and architectural experimentation.
cool stuff
Cypher Algorithm
Code for the riemann hypothesis
Personal Repo for my scripts
A Linux kernel subsystem for transparent, memoization of deterministic computations.
An App that Captures and Sends All(video, audio, sensor data).
Python composable command line interface toolkit
An ai architecture made in c, made to recreate how the human brain learns algorithms using sparse distributed respresentations (SDR) and shift-XOR binding to learn and do math equations without normal boring neural nets