kasakh Goto Github PK

18335

18.335 - Introduction to Numerical Methods course

ad-papers

Papers on Computational Advertising

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

attention-is-all-you-need-explained-pytorch

A paper implementation and tutorial from scratch combining various great resources for implementing Transformers discussesd in Attention in All You Need Paper for the task of German to English Translation.

autograd

Efficiently computes derivatives of numpy code.

autograd-introduction

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-vaes

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

bandits

A JavaScript demo of some multi-armed bandits algorithms

beamer-template

A Template for university presentations using LaTeX-Beamer class

beamerthemenus

An unofficial NUS beamer theme with/without logo.

bidding-machine

An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"

computationalmathematics

Lecture slides and homework assignments for MA5233 Computational Mathematics at the National University of Singapore.

contextual

Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

crypto-whale-watching-app

Python Dash app that tracks whale activity in cryptocurrency markets.

dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

darkreader

Dark Reader Chrome and Firefox extension

detan

Deterministic annealing Python library

education

Materials for my lectures and for self-study in machine learning

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

exprnn

Code to reproduce the NeurIPS 2019 paper "Trivializations for Gradient-Based Optimization on Manifolds" and the ICML 2019 paper "Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group"

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)

glow-pytorch

Simple, extendable, easy to understand Glow implementation in PyTorch

going-deeper-with-convolutional-neural-network-for-stock-market-prediction

Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction

gym-adserver

An OpenAI gym environment for ad serving algorithms

igmm

Infinite Gaussian Mixture Model

indian-parallel-corpora

information-bottleneck

a python implementation of various versions of the information bottleneck, including automated parameter searching

irl-benchmark