sumehta Goto Github PK

100-nlp-papers

100 Must-Read NLP Papers

ace2005-preprocessing

ACE 2005 corpus preprocessing for Event Extraction task

algorithms

This repository contains mostly python implementations of programming questions on popular programming interview practice platforms including LeetCode and GeeksforGeeks

arae

Correcting sentences in the ICEWS dataset using the model proposed in "Adversarially Regularized Autoencoders for Generating Discrete Structures" by Zhao, Kim, Zhang, Rush and LeCun.

babyagi

bert

TensorFlow code and pre-trained models for BERT

bert-related-papers

BERT-related papers

bertvsulmfit

Comparing Text Classification results using BERT embedding and ULMFIT embedding

bilstm_crf_extract

Entity Extraction from text using BiLSTM-CRF

build-your-own-x

🤓 Build your own (insert technology here)

caffe

Caffe: a fast open framework for deep learning.

ce7454_2019

Deep learning course CE7454, 2019

chains-visualization

Visualization for Question chains

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cloudcv_server

cnn-text-classification-pytorch

CNNs for Sentence Classification in PyTorch

code

Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

coding-interview-university

A complete computer science study plan to become a software engineer.

contextslices

Context slices research project

cs224n

Solutions to assignments for cs224n Natural Language Processing with Deep Learning class

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

cv-class-project

Estimating GPS coordinates from images class project

deeplearning.ai-natural-language-processing-specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

deeplearningexamples

Deep Learning Examples

deepmind-teaching-machines-to-read-and-comprehend

Implementation of "Teaching Machines to Read and Comprehend" proposed by Google DeepMind. Experiments on the ICEWS dataset.

distil-bilstm

Scripts to train a bidirectional LSTM with knowledge distillation from BERT

dl-experiments

Deep learning experiments: This repository contains jupyter notebooks for training image classification models on MNIST, CIFAR100, language models and autoencoder using Tensorflow.

dynamic-kg

Dynamic (Temporal) Knowledge Graph Completion (Reasoning)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.