Stanford CS246 Mining Massive Data Sets course HW
☆16Apr 21, 2017Updated 9 years ago
Alternatives and similar repositories for Mining-Massive-Data-Sets
Users that are interested in Mining-Massive-Data-Sets are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Mining Massive Data Sets, taught by Jure Leskovec☆14Aug 7, 2019Updated 6 years ago
- Course Projects for Stanford CS142 Web Applications☆10Oct 15, 2016Updated 9 years ago
- cs142, web application☆11Jun 24, 2017Updated 9 years ago
- Deep Neural Network course @ UC Berkeley, taken Spring 2019☆10Dec 7, 2022Updated 3 years ago
- ☆11Aug 23, 2017Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Repository for tutorial on Neural ODEs prepared for the UCL AI Society☆13Mar 7, 2021Updated 5 years ago
- Personal solutions to end-of-chapter questions☆13May 10, 2019Updated 7 years ago
- Time Series Prediction for Kaggle - Final project - Predict future sales. Highlights: Mean encoding, Feature engineering, Out of fold tra…☆11Apr 11, 2018Updated 8 years ago
- VoxelNet Implementation for Usage on Win and Linux Systems☆10Jul 9, 2019Updated 7 years ago
- stanford introduction to computer networking labs☆15Sep 5, 2018Updated 7 years ago
- CS107 course: programming paradigms by Jerry Cain (Stanford University)☆17Feb 9, 2017Updated 9 years ago
- Implementation of VisualBackProp using Pytorch.☆14Oct 28, 2017Updated 8 years ago
- The note for data science and machine learning program☆11Jan 14, 2019Updated 7 years ago
- Labs developed for Applied Fisheries Time-series Analysis course. The link for the text is https://atsa-es.github.io/atsa-labs/☆22Dec 7, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Gaussian Processes regression and classification implementations, as well as notebook for accompanying blog. Blog static site:☆11Jul 16, 2018Updated 7 years ago
- ChatGPT solutions for the MLE interview☆14Dec 9, 2022Updated 3 years ago
- Context-Aware Multi-Modal Transportation Recommendation☆12Jun 26, 2019Updated 7 years ago
- ☆10Jul 12, 2019Updated 6 years ago
- Seq2seq using LSTM with attention from Luong et al☆10Oct 2, 2018Updated 7 years ago
- Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyan…☆14Sep 11, 2020Updated 5 years ago
- My course projects for the 2021 Spring Machine Learning course at the National Taiwan University (NTU)☆20May 18, 2022Updated 4 years ago
- Python code to re-produce results and illustrations of destination prediction by trajectory distribution based model.☆12Dec 29, 2018Updated 7 years ago
- Engineering Design Optimization☆14Nov 17, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- UC Berkeley CS189 Introduction to Machine Learning Homework☆14Oct 3, 2020Updated 5 years ago
- This is the codebase for our ICRA 2020 submission, GraphRQI: Classifying Driver Behaviors Using Graph Spectrums.☆13Dec 8, 2019Updated 6 years ago
- ☆14Jul 8, 2020Updated 6 years ago
- Princeton Algorithm solution. 普林斯顿算法公开课大作业题解(共10个)。☆16Nov 17, 2019Updated 6 years ago
- dc数据竞赛 汽车出行预测☆10Dec 12, 2018Updated 7 years ago
- An implementation of GBDT+FM☆24Feb 23, 2017Updated 9 years ago
- Course materials for Stat 154, spring 2018, at UC Berkeley☆26Nov 15, 2018Updated 7 years ago
- Object Oriented System Design by Patrick Young (Stanford University)☆24Oct 4, 2013Updated 12 years ago
- PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing☆10Nov 6, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Data mining algorithms with Python☆10Jun 26, 2019Updated 7 years ago
- ☆32Sep 7, 2023Updated 2 years ago
- Pytorch implementation of Quaternion Knowledge Graph Embeddings.☆110Apr 22, 2020Updated 6 years ago
- Study of US electrical grid. Build models for predicting demand based on weather.☆11Jul 19, 2024Updated last year
- ☆11Aug 22, 2023Updated 2 years ago
- kaggle-cvpr-2018-autonomous-driving-3rd place solution☆24Nov 2, 2018Updated 7 years ago
- IoT Data Analytics Benchmark☆10Apr 16, 2020Updated 6 years ago