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15688-data-science-project

This is the group project for the 15-688 Data Science; the goal is togoal for this project is designed to descern the correlations among possible features that could affect the energy consumption. This work is collaborated with Zhonglin Cao, Ruiji Sun, Xin Shen.

advertisement-prediction-with-lightgbm

A descriptive JupyterNoteBook illustration for feature engineering and model prediction with LightBGM

algorithmic-toolbox

This repository will contain my work from the Master Algorithmic Programming Techniques Specialization that was created by UC San Diego and delivered through Coursera.

algorithmic-toolbox-1

Algorithmic toolbox assignments from Coursera

auto-braking-rc-car

An Arduino controlled RC car project.

automatic-braking-system

Automatic Braking System Project for COEN 6711

cmu-15688-practical-data-science

This repo holds all the assignments for Practical Data Science. Topics include: text classification, linear model, map reduce, and all other techniques

cmu15451-hw-16fall-to-17fall

CMU 15451/651 Homework from 16 fall to 17 fall. For writeups, see http://www.cs.cmu.edu/afs/cs.cmu.edu/academic/class/15451-s17/www/ and http://www.cs.cmu.edu/afs/cs.cmu.edu/academic/class/15451-f17/www/.

cocoapi

COCO API - Dataset @ http://cocodataset.org/

cornernet-lite

glm

GLM (General Language Model)

gru-rnn

Minimal numpy implementation of a RNN using GRUs

imantics

:camera: Reactive python package for managing, creating and visualizing different deep-learning image annotation formats

leetcode-problems-java-python--with-markdown-explanation-chinese

This is a markdown file which lists all the descriptive explanation of each leetcode algorithm problem I have been through. All in Chinese though.

listen-attend-and-spell-pytorch

Listen Attend and Spell (LAS) implement in pytorch

lstm-gru-pytorch

LSTM and GRU in PyTorch

maav

Work towards a self-driving car's braking system with video demo.

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.

models

Models and examples built with TensorFlow

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

neural-style

Torch implementation of neural style algorithm

numpy-machine-learningalgorithm-implementations

This is a practice and a tutorial- alike repo to share some of my implementations of most common ML algorithms

open_llama

OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

python-neural-nets

various neural net implementations in python

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-super-resolution

Super Resolution of low resolution Images in PyTorch

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

pytorch_all_in_one

Pytorch code reference

rolo

ROLO is short for Recurrent YOLO, aimed at simultaneous object detection and tracking