Luca Celotti's repositories

GenericTools

I put here tools that I use in different projects all the time, so I have them all centralized

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codes4blog

I leave here the functional codes that I write for the blog

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catalyst

An Algorithmic Trading Library for Crypto-Assets in Python

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Conv-TasNet

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

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datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

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fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

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Generating-Sequences-With-Recurrent-Neural-Networks

Implementation of Paper Generating Sequences With Recurrent Neural Networks

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home-platform

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

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keras-image-captioning

An implementation of image captioning in Keras

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ktrain

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

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Lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

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lucehe.github.io

Build a Jekyll blog in minutes, without touching the command line.

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memn2n-keras

Memory Networks for Question Answering

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nas-without-training

Neural Architecture Search Without Training

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performer

Tensorflow implementation of a linear attention architecture

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PySpike

Python implementation of spike distance metrics

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relax

Optimizing control variates for black-box gradient estimation

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SEAM

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)

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Tello-Python

This is a collection of python modules that interact with the Ryze Tello drone.

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tensorflow

Computation using data flow graphs for scalable machine learning

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torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

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transformers-plus-performers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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trellisnet

[ICLR'19] Trellis Networks for Sequence Modeling

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