nathanielwei

Deep-MultiFactor-Model

Code implementation of the work: Factor Investing with a Deep Multi-Factor Model. We will release source codes upon publication to facilitate reproduction of our results.

Research_Project_Feb_2023

Awesome-Trajectory-Prediction

a-PyTorch-Tutorial-to-Image-Captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

alphagen

Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.

alphalens-need-renovation

Performance analysis of predictive (alpha) stock factors

argoverse-forecasting

Official Repository for Argoverse Motion Forecasting Baselines

Awesome-Interaction-aware-Trajectory-Prediction

A selection of state-of-the-art research materials on trajectory prediction

ColossalAI

Making large AI models cheaper, faster and more accessible

DECOR-GAN

PyTorch 1.5 implementation for paper DECOR-GAN: 3D Shape Detailization by Conditional Refinement.

DeepClustering

Methods and Implements of Deep Clustering

google-research

Google Research

ierg6130-assignment

Assignments for course IERG 6130: Reinforcement Learning and Beyond

ivy

The Unified Machine Learning Framework

LambdaRankNN

LambdaRank Neural Network model using Keras.

LeetCode

Try some, get some

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Matterport3DSimulator

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

ML-Quant-WangChao

nathanielwei.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

nuscenes-devkit

The devkit of the nuScenes dataset.

Pointnet_Pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

qlib_msra_original

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

RGBD_Semantic_Segmentation_PyTorch

PyTorch Implementation of some RGBD Semantic Segmentation models.

sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

signatory

Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)

simonsc

simons sdk, a financial data library, for quantitative researcher

tushare

TuShare is a utility for crawling historical data of China stocks

vimrc

The ultimate Vim configuration: vimrc

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch