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Alex Lau's Projects

ab3dmot icon ab3dmot

Official python implementation for "A Baseline for 3D Multi-Object Tracking"

aialpha icon aialpha

Use unsupervised and supervised learning to predict stocks

al-mdn icon al-mdn

Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)

algo-exercise icon algo-exercise

This repo documents my drafted solution to some algorithm exercises. They are mainly written in Python

all-of-statistics-exercises icon all-of-statistics-exercises

This repo documents some of my drafted solutions to the exercises from All of Statistics by Larry Wasserman. This repo only contains solutions to exercises that requires computer experiment. The book is a handy reference to most concepts of statistics.

arminc-autoexec icon arminc-autoexec

⚙️ ArminC's configuration (autoexec) for CS:GO - well documented, analysed and no misconceptions.

baal icon baal

Using approximate bayesian posteriors in deep nets for active learning

beanie icon beanie

Asynchronous Python ODM for MongoDB

blog icon blog

Public repo for HF blog posts

classesmd5-64 icon classesmd5-64

Extract classes.dex from apk and returns base64 MD5 raw encoded

classic_algo_implementation icon classic_algo_implementation

This repo collects some of my algorithm or data structure implementation written in Python. They serve as an exercise for enhancing my proficiency in writing algorithm.

clipbert icon clipbert

[CVPR 2021 Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning for image-text and video-text tasks.

cnn-registration icon cnn-registration

A image registration method using convolutional neural network features.

cyclegan-fastai icon cyclegan-fastai

as a proof-of-concept, test if CycleGAN can learn spatial variation from images with multiple MNIST digits

d2-net icon d2-net

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

data icon data

Data and code behind the stories and interactives at FiveThirtyEight

deep-learning-wizard icon deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

denserootsift icon denserootsift

Implementation of Dense Root SIFT wrapper using OpenCV and python

divide_and_conquer_algo icon divide_and_conquer_algo

This repository aims to document my learning progress on a MOOC course "Divide and Conquer, Sorting and Searching, and Randomized Algorithms" by Stanford University

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