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anne-dbscan-demo

Demo of using aNNE similarity for DBSCAN.

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

answer-aware-question-generation

Neural Question Generation system with LLMs

apotheosis

A specialized implementation of the Hierarchical Navigable Small World (HNSW) data structure adapted for efficient nearest neighbor lookup of approximate matching hashes

artificial-intelligence

artificial-intelligence-problems

Solving some AI Problems

asset-allocation-using-drl

A Customized Asset Allocation System using Deep Reinforcement Learning

asset-portfolio-management-usingdeep-reinforcement-learning-

This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep Reinforcement Learning (DRL). The work presented explores the use of Deep Reinforcement Learning in dynamically allocating assets in a portfolio in order to solve the Tactical Asset Allocation (TAA) problem.

assetic

Asset Management for PHP

asset_allocation_in_reinforcement_learning

HKUST MAFM course project for Asset Allocation in Reinforcement Learning

atomicphp

A PHP5.3+ HMVC Framework

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

aui

Archlinux Ultimate Install

automatedstocktrading-deepq-learning

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to

automatic-question-generator-with-nlp

This is my Final Year BE Project. In Natural Language Processing (NLP), Question Generation (QG) is a well-known task that involves generating understandable questions from an input text. There are many useful applications in AQG, especially in educational settings, to create quizzes or reading comprehension papers.

awesome-interaction-aware-trajectory-prediction

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

awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

bachelor-thesis

Bachelor's thesis on "Weighting Intrinsic and Extrinsic Rewards in Reinforcement Learning"

bachelor-thesis-2022

This is my BS Thesis named "Backpropagation-based reinforcement learning for decision tree".

backtrack

A simple implementation of a backtracking algorithm with a binary tree

backtrack-pg

BackTrack-PG

batterygrid

Reinforcement Learning Project for an optimal charge and discharge of an electric vehicle based on electricity prices

bd-procedural-env-deep-learning

Bachelor's Degree Thesis work involving Procedural Environments and Deep Q Learning

bespoke

DIY Presentation Micro-Framework

binance-trader

Experimental trading bot for crypto currency on Binance.com

black-jack-portfolio

Reinforcement Learning solving the Black Jack Portfolio

blockchain

A simple implementation of blockchain in java

blockchain-1

Simple BlockChain DEMO in JAVA

blog

Public repo for HF blog posts

blog-posts

This repository hosts all the blog posts on machine learning, deep learning and statistical modeling.