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annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

annotated_deep_learning_paper_implementations

🧑‍🏫 59 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, ... 🧠

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

anomaly-detection

One stop shop for creating neural networks and detecting anomalies.

anomaly_detection_post

Discovering anomalies in wikipedia with R

anomalydetection

Anomaly Detection with R

antelope

Antelope Realtime Events framework for feature engineering in agile machine learning environments.

antibiotic

Reproducing results from "A Deep Learning Approach to Antibiotic Discovery"

apollo-11

Original Apollo 11 Guidance Computer (AGC) source code.

applause

Cross platform mobile development toolkit consisting of a DSL for defining mobile apps and code generators for creating native apps for iOS, Android, Windows Phone 7 and Google App Engine. Based on Eclipse and Xtext. the official repo is at applause/applause.

architects-guide-2-aiot

Code for the "The Architect's Guide to the AIoT" blog.

articles

References to the Medium articles

artificial-nose

Instructions, source code, and misc. resources needed for building a Tiny ML-powered artificial nose.

asset-pricing-model

PyTorch autoencoder implementation of asset pricing model using monthly returns/metrics

atari

Persistent advantage learning dueling double DQN for the Arcade Learning Environment.

atp_itf_tennismatch_winner

Predict the winner of a tennis match using match data

attentionneuron.github.io

auto-causality

AutoML for causal inference.

auto-portfolio

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

auto_numerai

autokoopman

AutoKoopman - Koopman operator methods for data-driven dynamical systems analysis and control.

automatic_vehicular_control

[IEEE T-ASE] [IROS 2022] Unified Automatic Control of Vehicular Systems With Reinforcement Learning

autonomoushegician

Helper application for Hegic DeFi options using the Fetch.ai stack

autotrade

Stock/ETF auto-trading code in R for IBAPI

autoxgb

XGBoost + Optuna

awesome-colab-notebooks

Collection of google colaboratory notebooks for fast and easy experiments

awesome-crypto-trading-bots

Awesome crypto trading bots

awesome-deep-learning-papers

awesome-google-colab

Google Colaboratory Notebooks and Repositories