mehrdadzakershahrak

mehrdadzakershahrak

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pddl-parser

:snake: Classical Planning in Python

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waymax

A JAX-based simulator for autonomous driving research.

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generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

License:Apache-2.0Stargazers:15511Issues:0Issues:0
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AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

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applied-ml

đź“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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hazm

Persian NLP Toolkit

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NeuralPersianPoet

Neural Persian Poet: A sequence-to-sequence model for composing Persian poetry

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neuralet

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

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torch2trt

An easy to use PyTorch to TensorRT converter

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LeetCode

đź’ˇ LeetCode in C++20/Java/Python/MySQL/TypeScript (respect coding conventions)

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Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

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HighwayEnv

A minimalist environment for decision-making in autonomous driving

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blockchain

A simple Blockchain in Python

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mesh

Mesh TensorFlow: Model Parallelism Made Easier

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pwc

This repository is no longer maintained.

Stargazers:15405Issues:0Issues:0

pytorch_geometric

Graph Neural Network Library for PyTorch

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LOTlib3

Language of thought library for python 3

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pytorch_experiments

Auto Encoders in PyTorch

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hydra

Hydra is a framework for elegantly configuring complex applications

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D4RL

A collection of reference environments for offline reinforcement learning

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DS-Career-Resources

Compilation of resources for aspiring data scientists

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ActiveVaR

Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"

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