Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Tokenization, parsing, classical NLP pipelines, translation and information extraction.
Signals: nlp, natural-language-processing, tokenizer, named-entity-recognition, text-classification, machine-translation, sentiment-analysis, spacy
637 results
A statistical language model based Chinese input method
Unsupervised Language Modeling at scale for robust sentiment classification
Giant Language Model Test Room
LSTM language model with CNN over characters
An autoregressive character-level language model for making more things
KenLM: Faster and Smaller Language Model Queries
[ICLR 2024] Lemur: Open Foundation Models for Language Agents
Github repo with tutorials to fine tune transformers for diff NLP tasks
Code for paper Fine-tune BERT for Extractive Summarization
Code for "Text Generation from Knowledge Graphs with Graph Transformers"
ChinesePersonRelationGraph, person relationship extraction based on nlp methods.中文人物关系知识图谱项目,内容包括中文人物关系图谱构建,基于知识库的数据回标,基于远程监督与bootstrapping方法的人物关系抽取,基于知识图谱的知识问答等应用。
This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and causal inference. This course has a strong applied focus with emphasis placed on doing computational social science.
This project pulls past game data from api-football, and uses this to predict the outcome of future premier league matches with the use of classical machine learning techniques.
A python package that integrate algorithms and various machine learning approaches to extract features (genes) effective for classification and attribute them accordingly.
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
An artificial machine learning program that attempts to impersonate the writing style of any given text training set
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube
A machine learning tool for fishing entities
Machine learning models to automatically summarise scientific papers
📛 Fuzzy Name Matching with Machine Learning
Predicting Forex Future Price with Machine Learning
Machine Learning and Security | Using machine learning to detect malicious URLs
Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.
24,523 repositories in the index in total.
