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awesome-multimodal-large-language-models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

da3c_fluid_model_for_mdfjsp

ddqn_fluid_model

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deep_learning_with_python_and_pytorch

Pytorch implementation of CNNN, RNN, LSTM, GUR, GAN, CGAN, TL

deep_reinforcement_learning

learning the project about deep learning

deep_reinforcement_learning_for_fjsp

dive_into_deep_learning

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

fjspdrl

The code and data will be published after accepting our paper

graph_neural_network_fjsp

machine_learning

Tensorflow2.0

moea-d-and-nsga--for-fjsp

this repo has use MOEA/D and NSGA-Ⅱ to solve multi-objective FJSP problem

moea-d-py

A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)

morl

Multi-Objective Reinforcement Learning

opeancv4.0-pytorch

机器视觉-基于pytorch框架

opencv_tutorials

Opencv4.0 with python (English&中文)， and will keep the update ! 👊

pgmorl

[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

pykan

Kolmogorov Arnold Networks

pytorch-a3c

Simple A3C implementation with pytorch + multiprocessing

rg-rrd

A program implemented by Pytorch for solving RCPSP and RCPSP with resource disruptions, based on graph neural network and reinforcement learning