Interesting python codes to tackle simple machine/deep learning tasks

My Reading Lists of Deep Learning and Natural Language Processing

Span-based Localizing Network for Natural Language Video Localization (ACL 2020)

Parallel Attention Network with Sequence Matching for Video Grounding (Findings of ACL 2021)

Video Corpus Moment Retrieval with Contrastive Learning (SIGIR 2021)

Plain Stock Close-Price Prediction via Graves LSTM RNNs

Dual Adversarial Neural Transfer Network

Deep N-ary Error Correcting Output Codes

Source codes for "RoSeq: Robust Sequence Labeling" and "Learning With Annotation of Various Degrees"

Tensorflow implementation of "SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings"

Token and Sentence Level Classification with Google's BERT (TensorFlow)

A TensorFlow implementation of "Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels"

Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.

A python parser for DBLP dataset

A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunking, NER, Punctuation Restoration and etc.

A seq2seq with attention dialogue/MT model implemented by TensorFlow.

An extension of WordNet and VerbNet and analysing WordNet structure through MIT WordNet and VerbNet Java API

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

Word2VecfJava: Java implementation of Dependency-Based Word Embeddings and extensions

It is a Java implementation of underwater images and videos enhancement by fusion

Learn Neural Networks using Java

Solutions of LeetCode online judge in Java language

A mavenized ClauseIE project (in Java) of Max Planck Institute.