aidangomez

Aidan Gomez's repositories

weblm

Drive a browser with Cohere

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welcome

Generate a cute welcome message for yourself each day

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pygorithmic

A QuestTrade API wrapper designed to streamline the development of investment algorithms.

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NICE

[In Dev] A Theano implementation of Nonlinear Independent Component Estimation (arxiv.org/abs/1410.8516)

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RandKit

Swift framework for random numbers & distributions.

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awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

1 20

BrainCore

The iOS and OS X neural network framework

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caffe

Caffe: a fast open framework for deep learning.

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models

Models built with TensorFlow

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tensorboard

TensorFlow's Visualization Toolkit

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tensorflow

Open source software library for numerical computation using data flow graphs.

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tpu

Reference models and tools for Cloud TPUs.

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Upsurge

Swift + Accelerate

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bittensor

Crypto P2P Neural Networks

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cityscapes-api

API for Cityscapes Dataset

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cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

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Cpp-AES

Just another implementation of AES; An excuse to intimately learn the algorithm.

020

dotfiles

@aleph7's dotfiles

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dspy

DSPy: The framework for programming—not prompting—foundation models

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errand-boy

A memory-conscious alternative to os.fork() and subprocess.Popen().

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intune-features

Audio feature extraction for iOS and OSX

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langchain

🦜🔗 Build context-aware reasoning applications

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obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

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Peak

Audio tools for iOS and OS X - ‎(ﾉಥ益ಥ）ﾉ ┻━┻

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polyphonic-transcription-net

[WIP] for a simple polyphonic transcription network for use in InTune. Training data generated by InTune-Features.

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progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

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pysched

Pipeline based scheduler made in Python

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template

This is the repository for the distill web framework

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tensor2tensor

A library for generalized sequence to sequence models

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