Popular GitHub Repositories for Borda Count

Top 200 deep learning Github repositories sorted by the number of stars.

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec .

文本分析包，支持字数统计、可读性、文档相似度、情感分析在内的多种文本分析方法。Text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec/GloVe, and Large Language Models (LLMs).

? Open Source AI & Data Landscape - provides overview of top tier projects in the open source AI and Data ecosystem, shows projects through GitHub data, funding or market cap, first and last commits, contributor count and much other information.

Run a Jupyter Notebook to detect, track, and count cars in a video using Maximo Visual Insights (formerly PowerAI Vision) and OpenCV

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

Count number of parameters / MACs / FLOPS for ONNX models.

A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera.

[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".

This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.

NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psychology and casual writing styles and handling heavily imbalanced classes. Check the app here - https://mb-predictor-motetuzs5q-uc.a.run.app/

A compressed adaptive optimizer for training large-scale deep learning models using PyTorch

An in-development R package and a Bayesian hierarchical model jointly fitting multiple "local" wastewater data streams and "global" case count data to produce nowcasts and forecasts of both observations

Deep Learning based web application to automate tree enumeration in forest areas using satellite imagery.

A Flutter app that utilises TensorFlow's MoveNet model for pose detection, in order to count a user's reps and detect the correctness of their pose, with additional modules for BMI calculation and nutrition.

Regression in Convolutional Neural Network applied to Plant Leaf Count