Pinned Repositories
HackerRank_Python
My solutions to HackerRank problems using Python
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
practice_assignment
Practice assignment for the R programming class on Coursera
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
sunnycd's Repositories
sunnycd/3D-Machine-Learning
A resource repository for 3D machine learning
sunnycd/3D-R2N2
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
sunnycd/algorithm-python
数据结构与算法:Python语言描述 (裘宗燕) 主要代码
sunnycd/assimp
Official Open Asset Import Library Repository. Loads 40+ 3D file formats into one unified and clean data structure.
sunnycd/awesome-deep-vision
A curated list of deep learning resources for computer vision
sunnycd/Awesome-Geospatial
Long list of geospatial tools and resources
sunnycd/butterflow
Make motion interpolated and fluid slow motion videos from the command line
sunnycd/cwtail
CloudWatch Logs Tail
sunnycd/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
sunnycd/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
sunnycd/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
sunnycd/dxfwrite
sunnycd/faceswap
Non official project based on original /r/Deepfakes thread. Many thanks to him!
sunnycd/hgf
sunnycd/How-to-create-an-EC2-instance
sunnycd/Kaggle-Competition-Favorita
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
sunnycd/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
sunnycd/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
sunnycd/nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
sunnycd/Open.GL
The source code and content of Open.GL.
sunnycd/opencv
Open Source Computer Vision Library
sunnycd/python3_with_pleasure
A short guide on features of Python 3
sunnycd/pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
sunnycd/ReferringRelationships
sunnycd/scipy-cookbook
Scipy Cookbook
sunnycd/spark-and-python-for-big-data-with-pyspark
Course on Udemy by Jose Portilla
sunnycd/test_prac
sunnycd/testcase
sunnycd/Udacity-A-B-Test
For this project, you will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.
sunnycd/web-traffic-forecasting
Kaggle | Web Traffic Forecasting 📈