#自然语言处理#快速上手AI理论及应用实战:基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集,力求每一位能看懂并复现。
#自然语言处理#Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary...
#计算机科学#A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning tech...
#计算机科学#Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
翻译 - 此仓库的目标是提供所有数据科学竞赛的解决方案(Kaggle,Data Hack,Machine Hack,Driven Data等)。
#计算机科学#https://www.kaggle.com/c/humpback-whale-identification
翻译 - HTTPS://呜呜呜.卡改革了.com/从/humpback-whale-identification
#搜索#3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
#计算机科学#Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
#计算机科学#Pytorch starter kit for Kaggle competitions
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
#计算机科学#Kaggle | 9th place single model solution for TGS Salt Identification Challenge
#计算机科学#This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and rea...
#计算机科学#Kaggle Segmentation Challenge
1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation
Exploratory data analysis 📊using python 🐍of used car 🚘 database taken from ⓚ𝖆𝖌𝖌𝖑𝖊
#计算机科学#Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI
#自然语言处理#4th Place Solution for the Kaggle Competition: LMSYS - Chatbot Arena Human Preference Predictions
Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge