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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Sample code for Channel 9 Python for Beginners course
Visualizations for machine learning datasets
SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)
cluster data collected from production clusters in Alibaba for cluster management research
Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
Practical Full-Stack Machine Learning
CUDA-accelerated GIS and spatiotemporal algorithms
Traffic Signs Detection and Recognition with Tensorflow
Geospatial Raster support for Spark DataFrames
2018达观杯长文本分类智能处理挑战赛 18解决方案
本Repository为中国人民大学朝乐门老师开源课程——《数据科学导论》
Detecting and Quantifying Marine Debris using Deep Visual Models.
豆瓣电影网与艺恩票房网的电影数据采集与分析及可视化
Tool to analyse the Google's traces 'clusterdata-2011-2' for both job_events and task_events.