Pinned Repositories
Angi16's Repositories
Angi16/Deep-Reinforcement-Learning
Angi16/Speech-Recognition-NLP-
Angi16/3.-Data-Exploration-Cleaning-and-Preparation
Angi16/4.-Introduction-to-Machine-Learning
Angi16/6.-Deep-Learning-Theory
Angi16/7.Deep-Learning-Libraries
Angi16/8.Deep-Learning-Computer-Vision
Angi16/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Angi16/awesome-deep-learning-papers
The most cited deep learning papers
Angi16/BotNLP
Angi16/Caption-Generation-NLP-
Angi16/ChatBot
Angi16/Data-Science-All-at-one-place
Angi16/Deep-Learning-for-Speech-Audio
Angi16/Importtant-Commands
Angi16/Language-Modeling-NLP-
Angi16/Machine-Learning-with-Big-Data
Angi16/Machine-Translation-NLP-
Angi16/ML-with-AWS
Angi16/NeuroNER
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Angi16/NLPP
Angi16/NLTK-3-NLP-with-Python
Angi16/object_detection_demo
How to train an object detection model easy for free
Angi16/Question-Answering-system
Angi16/Spacy-NLP
Angi16/Text-Classification-NLP-
Angi16/Text-Summarization-NLP
Angi16/Transitivity-Relations
Have the function TransitivityRelations(strArr) read the strArr parameter being passed which will make up an NxN matrix where the rows are separated by each pair of parentheses (the matrix will range from 2x2 to 5x5). The matrix represents connections between nodes in a graph where each node corresponds to the Nth element in the matrix (with 0 being the first node). If a connection exists from one node to another, it will be represented by a 1, if not it will be represented by a 0. For example: suppose strArr were a 3x3 matrix with input ["(1,1,1)","(1,0,0)","(0,1,0)"], this means that there is a connection from node 0->0, 0->1, and 0->2. For node 1 the connections are 1->0, and for node 2 the connections are 2->1. This can be interpreted as a connection existing from node X to node Y if there is a 1 in the Xth row and Yth column. Note: a connection from X->Y does not imply a connection from Y->X. What your program should determine is whether or not the matrix, which represents connections among the nodes, is transitive. A transitive relation means that if the connections 0->1 and 1->2 exist for example, then there must exist the connection 0->2. More generally, if there is a relation xRy and yRz, then xRz should exist within the matrix. If a matrix is completely transitive, return the string transitive. If it isn't, your program should return the connections needed, in the following format, in order for the matrix to be transitive: (N1,N2)-(N3,N4)-(...). So for the example above, your program should return (1,2)-(2,0). You can ignore the reflexive property of nodes in your answers. Return the connections needed in lexicographical order [e.g. (0,1)-(0,4)-(1,4)-(2,3)-(4,1)].
Angi16/voyager
Need some work
Angi16/XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.