Price prediction lobDeep learning for price movement prediction using high frequency limit order data
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brunoa deep recurrent model for exchangeable data
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stanford-cs231n-assignments-2020This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
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Voice ConversionVoice conversion (VC) investigation using three variants of VAE
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disent🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
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Neuraldialog LarlPyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
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CodeslamImplementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
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tt-vae-ganTimbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.
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ReservoirCode for Reservoir computing (Echo state network)
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Rnn lstm gesture recogFor recognising hand gestures using RNN and LSTM... Implementation in TensorFlow
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Mad TwinnetThe code for the MaD TwinNet. Demo page:
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Pytorch RdpgPyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
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Advanced Models여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)
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Speech Recognition Neural NetworkThis is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
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Generative-ModelRepository for implementation of generative models with Tensorflow 1.x
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Chemgan ChallengeCode for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
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seeing-without-lookingPyTorch implementation for Seeing without Looking: Contextual Rescoring of Object Detections for AP Mazimization
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lego-face-VAEVariational autoencoder for Lego minifig faces
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OptimusOptimus: the first large-scale pre-trained VAE language model
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pomdp-baselinesSimple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022
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Generative ModelsCollection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
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Repo 2017Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
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CHyVAECode for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)
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AutoEncodersVariational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras
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vae captioningImplementation of Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
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Pytorch VaeA Collection of Variational Autoencoders (VAE) in PyTorch.
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Keras AttentionVisualizing RNNs using the attention mechanism
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molecular-VAEImplementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules
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ParrotRNN-based generative models for speech.
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Emotion Recognition Using SpeechBuilding and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
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TybaltTraining and evaluating a variational autoencoder for pan-cancer gene expression data
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Predrnn PytorchOfficial implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
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tensorflow-mnist-AAETensorflow implementation of adversarial auto-encoder for MNIST
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RwaMachine Learning on Sequential Data Using a Recurrent Weighted Average
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Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
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Deep Trading AgentDeep Reinforcement Learning based Trading Agent for Bitcoin
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Beat BlenderBlend beats using machine learning to create music in a fun new way.
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Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
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lagvaeLagrangian VAE
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Variational-NMTVariational Neural Machine Translation System
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CIKM18-LCVACode for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
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DiffuseVAEA combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents
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