hzzhang88

hzzhang88's Stars

• CoteDave/blog

  Language:Jupyter Notebook5925

• husnejahan/DeepAR-pytorch

  Language:Python25354

• luanshiyinyang/DataMining

  Data Analysis and Mining(数据分析与挖掘)

  Language:Python304169

• mnslarcher/cs224w-slides-to-code

  Language:Jupyter Notebook5815

• LFhase/Learning_CS224w

  My approach to CS224w [AT] Stanford 2019 : )

  Language:Python12537

• wdempsey/BIOS617

  Course materials for BIOS617

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• thuijskens/bayesian-optimization

  Python code for bayesian optimization using Gaussian processes

  Language:Jupyter Notebook310127

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python8k1.6k

• maxjcohen/transformer

  Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

  Language:Jupyter Notebook858166

• jinglescode/time-series-forecasting-pytorch

  Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM

  Language:Jupyter Notebook25496

• Azure/DeepLearningForTimeSeriesForecasting

  A tutorial demonstrating how to implement deep learning models for time series forecasting

  Language:Jupyter Notebook659281

• oliverguhr/transformer-time-series-prediction

  proof of concept for a transformer-based time series prediction model

  Language:Python1.3k242

• RuifMaxx/Multidimensional-time-series-with-transformer

  transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测

  Language:Jupyter Notebook22439

• SheezaShabbir/Time-series-Analysis-using-LSTM-RNN-and-GRU

  Time series Analysis using LSTM,RNN and GRU with pytorch

  Language:Jupyter Notebook357

• adeveloperdiary/HiddenMarkovModel

  Code for the Hidden Markov Model Tutorial Series

  Language:Python84119

• krasserm/bayesian-machine-learning

  Notebooks about Bayesian methods for machine learning

  Language:Jupyter Notebook1.8k465

• jibsamGarcia/COCO-annotations-darknet-format

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• zxp46/EECS498-008-Deep-Learning-CV

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• seloufian/Deep-Learning-Computer-Vision

  My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

  Language:Jupyter Notebook12344

• subinium/DL4CV-Code

  EECS 498-007 / 598-005: Deep Learning for Computer Vision Assignment

  Language:Jupyter Notebook83

• DeepLearningDTU/02456-deep-learning-with-PyTorch

  Exercises and supplementary material for the deep learning course 02456 using PyTorch.

  Language:Jupyter Notebook323456

• nicklashansen/rnn_lstm_from_scratch

  How to build RNNs and LSTMs from scratch with NumPy.

  Language:Jupyter Notebook25370

• Ekeany/XGBoost-From-Scratch

  This repo contains a few tree based boosting algorithms implemented in python from scratch. This code relates to a medium.com article which I wrote explaining my journey to understanding how XGBoost works under the hood

  Language:Python5821

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24.1k4.6k

• srikhetramohanty/Data-Science-Portfolio

  This is a repository created in line with my understanding & implementation of the major complex ideas in Machine Learning & Inferential Statistics while working as a data science professional in the industry.

  Language:Jupyter Notebook71

• WillKoehrsen/Data-Analysis

  Data Science Using Python

  Language:Jupyter Notebook5.2k3.6k

• tanvipenumudy/Winter-Internship-Internity

  Repository to keep track of work assigned on a daily basis

  Language:Jupyter Notebook1314