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100-days-of-ml-code

100-Days-Of-ML-Code中文版

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

a-two-step-disentanglement-method

Model implementation and trained network for "A Two-Step Disentanglement Method" by Naama Hadad, Lior Wolf and Moni Shahar

ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

ak-de-bigru

Improving Response Selection in Multi-turn Dialogue Systems by Incorporating Domain Knowledge

aletheia

Unwrapping Black Box of ReLU DNNs

algotrading

Algo Trading Research & Documentation

anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

ar-cutpaste

Cut and paste your surroundings using AR

armagarch

ARMA-GARCH

auto-sklearn

Automated Machine Learning with scikit-learn

autogluon

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-deep-reinforcement-learning-in-finance

🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.

awesome-llm-interpretability

A curated list of Large Language Model (LLM) Interpretability resources.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-multimodal-large-language-models

Latest Papers and Datasets on Multimodal Large Language Models

awesome-random-forest

Random Forest - a curated list of resources regarding random forest

awesome-rl

Reinforcement learning resources curated

awesome-ssl4ts

A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).

awesomener

An implementation of bidirectional LSTM-CRF for Named Entity Relationship on custom corpus with custom word embeddings

aws-machine-learning-university-accelerated-nlp

aws-machine-learning-university-accelerated-tab

baize

Baize is an open-source chatbot trained with ChatGPT self-chatting data.

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

berkeley-deep-rl-pytorch-starter

Pytorch starter code for UC Berkeley's cs285 assignments

best_ai_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

black-box-explainability

borb

borb is a library for reading, creating and manipulating PDF files in python.

borb-examples