DSamuelHodge

void

moshi

paper-qa

High accuracy RAG for answering questions from scientific documents with citations

GOT-OCR2.0

Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

skorch

A scikit-learn compatible neural network library that wraps PyTorch

NN-SVG

Publication-ready NN-architecture schematics.

g1

g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains

som-tsp

Solving the Traveling Salesman Problem using Self-Organizing Maps

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

LLaMA-Omni

LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.

zml

High performance AI inference stack. Built for production. @ziglang / @openxla / MLIR / @bazelbuild

AppleNeuralHash2ONNX

Convert Apple NeuralHash model for CSAM Detection to ONNX.

optillm

Optimizing inference proxy for LLMs

ADAS

Automated Design of Agentic Systems

agentUniverse

agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.

quiet-star

Code for Quiet-STaR

N-BEATS

N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

oh-my-cv

An in-browser, local-first Markdown resume builder.

SciAgentsDiscovery

xrx-sample-apps

Sample web apps built with xRx-Core

hume-python-sdk

Python client for Hume AI

eureka-ml-insights

A framework for standardizing evaluations of large foundation models, beyond single-score reporting and rankings.

La-MAML

Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"

ComplexTensor

ComplexTensor: Machine Learning By Bridging Classical and Quantum Computation

qRNG

A quantum random number generator using IBM's QISKit.

deep-implicit-attention

Implementation of deep implicit attention in PyTorch

hidden-markov-model

A from-scratch Hidden Markov Model for hidden state learning from observation sequences.

afem

Implementation of approximate free-energy minimization in PyTorch

SMoLK

Sparse Mixture of Learned Kernels for Interpretable and Efficient PPG Signal Quality Assessment and Artifact Segmentation

Tiny-PPG