Code searchCode For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Stars: ✭ 436 (-84.2%)
Doc Han AttHierarchical Attention Networks for Chinese Sentiment Classification
Stars: ✭ 206 (-92.54%)
Pytorch Bert Crf NerKoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)
Stars: ✭ 236 (-91.45%)
Chinese Chatbot中文聊天机器人,基于10万组对白训练而成,采用注意力机制,对一般问题都会生成一个有意义的答复。已上传模型,可直接运行,跑不起来直播吃键盘。
Stars: ✭ 124 (-95.51%)
NelEntity linking framework
Stars: ✭ 176 (-93.62%)
GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
Stars: ✭ 189 (-93.15%)
Aind NlpCoding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
Stars: ✭ 202 (-92.68%)
FusenetDeep fusion project of deeply-fused nets, and the study on the connection to ensembling
Stars: ✭ 230 (-91.67%)
Sohu competitionSohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)
Stars: ✭ 224 (-91.88%)
DragonnA toolkit to learn how to model and interpret regulatory sequence data using deep learning.
Stars: ✭ 222 (-91.96%)
MydatascienceportfolioApplying Data Science and Machine Learning to Solve Real World Business Problems
Stars: ✭ 227 (-91.78%)
Spacy Api DockerspaCy REST API, wrapped in a Docker container.
Stars: ✭ 222 (-91.96%)
Comp Genomics ClassCode and examples for JHU Computational Genomics class
Stars: ✭ 228 (-91.74%)
SkyliftWi-Fi Geolocation Spoofing with the ESP8266
Stars: ✭ 223 (-91.92%)
ResideEMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Stars: ✭ 222 (-91.96%)
Pandas HighchartsBeautiful charting of pandas.DataFrame with Highcharts
Stars: ✭ 233 (-91.56%)
Video to bvhConvert human motion from video to .bvh
Stars: ✭ 222 (-91.96%)
LfortranOfficial mirror of https://gitlab.com/lfortran/lfortran. Please submit pull requests (PR) there. Any PR sent here will be closed automatically.
Stars: ✭ 220 (-92.03%)
Bert4doc ClassificationCode and source for paper ``How to Fine-Tune BERT for Text Classification?``
Stars: ✭ 220 (-92.03%)
SmtSurrogate Modeling Toolbox
Stars: ✭ 233 (-91.56%)
Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Stars: ✭ 229 (-91.7%)
Covid 19Ciência de Dados aplicada à pandemia do novo coronavírus.
Stars: ✭ 223 (-91.92%)
Triplet AttentionOfficial PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Stars: ✭ 222 (-91.96%)
NaviganNavigating the GAN Parameter Space for Semantic Image Editing
Stars: ✭ 221 (-91.99%)
Nbviewer.jsClient side rendering of Jupyter notebooks
Stars: ✭ 235 (-91.49%)
Datasetssource{d} datasets ("big code") for source code analysis and machine learning on source code
Stars: ✭ 231 (-91.63%)
Predicting winning teamsThis is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube
Stars: ✭ 229 (-91.7%)
Ipython NotebooksA collection of IPython notebooks covering various topics.
Stars: ✭ 2,543 (-7.86%)
OwnphotosSelf hosted alternative to Google Photos
Stars: ✭ 2,587 (-6.27%)
Snap N EatFood detection and recommendation with deep learning
Stars: ✭ 229 (-91.7%)
Vqa demoVisual Question Answering Demo on pretrained model
Stars: ✭ 222 (-91.96%)
SecSeed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation
Stars: ✭ 221 (-91.99%)
Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Stars: ✭ 5,720 (+107.25%)
Dsnd term1Contains files related to content and project of DSND
Stars: ✭ 229 (-91.7%)
Cd4ml WorkshopRepository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
Stars: ✭ 229 (-91.7%)
MelusineMelusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
Stars: ✭ 222 (-91.96%)
Question GenerationGenerating multiple choice questions from text using Machine Learning.
Stars: ✭ 227 (-91.78%)
Sklearn pycon2014Repository containing files for my PyCon 2014 scikit-learn tutorial.
Stars: ✭ 221 (-91.99%)
HtmresearchExperimental algorithms. Unsupported.
Stars: ✭ 221 (-91.99%)
Scikit GeometryScientific Python Geometric Algorithms Library
Stars: ✭ 220 (-92.03%)