shamanez Goto Github PK

multiprocessing-tutorials

muvilab

MUltiple VIdeos LABelling tool

naive-rnn-for-t

This is an implementation for apply RNN for time series data. Data should be written in to csv files. Please refer to the example csv file.

neural-style-transfer

TensorFlow implementation of perceptual losses for real-time style transfer

nmt

TensorFlow Neural Machine Translation Tutorial

ntm

TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)

object-detector-app

Real-Time Object Recognition App with Tensorflow and OpenCV

object_detection_naming-

one-shot-learing-with-center-loss

This is a modified version of the Open-face implementation that can be used with custom data sets.

oreilly-rl-tutorial

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

paper-notes

Random notes on papers, likely a short-term repo.

paper_notes

This will contain my notes for research papers (mostly machine learning and deep learning).

pase

Problem Agnostic Speech Encoder

portfolio

This repository contains the details about my project and things happening in my life.

pygaggle

a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini

qa-dataset-converter

Code from the paper "What do Models Learn from Question Answering Datasets?" (EMNLP 2020)

raccoon-dataset

The dataset is used to train my own raccoon detector and I blogged about it on Medium

rag-end2end-datasets

Datasets used in RAG-end2end repositories.

reatt

Retrieval as Attention

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

relation-network-tensorflow

Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.

residual_adapters

rouge-score-stat

this is a repo that calculate the statistical significant between ROUGE scores

rrt_medirl

RRT_MEDIRL implementation for Tensorflow

scitldr

self-supervised-embedding-fusion-transformer

The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.

semantic_segmentation

Semantic Segmentation using Fully Convolutional Neural Network.

sensor_data_preprocess-

This is about how to write ardiuno readings in to a csv in desired manner .

sensor_fusion_gpu_training-

sf-deep-rl

Project on Successor Features in Deep Reinforcement Learning and Transfer Learning