Jake Lee's repositories
Meshsimplify-opengl
This project is base on the MIT OpenCourseWare to implement the paper Surface Simplification Using Quadric Error Metrics to simplify the mesh on the OpenGL rendering.
Sentiment-Analysis-tensorflow
In this project I create the machine learning model which can classify postive and negtive result of the sentence by using word2vec and LSTM.
cnn-text-classification
Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
deep_trader
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.
LBeacon
LBeacon (Location Beacon): BeDIPS uses LBeacons to deliver to users the 3D coordinates and textual descriptions of their locations. Basically, LBeacon is a low-cost, Bluetooth Smart Ready device. At deployment and maintenance times, the 3D coordinates and location description of every LBeacon are retrieved from BeDIS (Building/environment Data and Information System) and stored locally. Once initialized, each LBeacon broadcast its coordinates and location description to Bluetooth enabled mobile devices nearby within its coverage area.
to-do-list-Dapp
Decentralized applications base on Ethereum by using React.js for front-end
word2vec_module-tensorflow
Word2vec is a group of related models that are used to produce word embeddings.
ethorse-core
The World’s first DAPP to bet on the price of Cryptocurrencies
experiments_with_python
experiments with python
harmonics-1
Harmonic Pattern Autotrading Development
mvs-texturing
Algorithm to texture 3D reconstructions from multi-view stereo images
nifty-game
🃏🎮A NFT(ERC721) card game build on Ethereum, Truffle, Ganache and hosting on IPFS.
Nonlinear_Face_3DMM
Source code for "Nonlinear 3D Face Morphable Model"
rpi-buildroot
Lightweight Raspberry Pi BSP build system based on Buildroot
SemanticSoftSegmentation
Spectral segmentation described in Aksoy et al., "Semantic Soft Segmentation", ACM TOG (Proc. SIGGRAPH), 2018
SGX-Full-OrderBook-Tick-Data-Trading-Strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
SIGGRAPH18SSS
SIGGRAPH2018, Semantic Soft Segmentation, http://people.inf.ethz.ch/aksoyy/sss/
tensorflow
Computation using data flow graphs for scalable machine learning
TensorFlow-NEAT
TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
text-classification
Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK