deephaejoong Goto Github PK

psa

Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018

purejaxrl

Really Fast End-to-End Jax RL Implementations

python-for-coding-test

[한빛미디어] "이것이 취업을 위한 코딩 테스트다 with 파이썬" 전체 소스코드 저장소입니다.

python_algorithm_interview

DeepHaeJoong/python_algorithm_interview

python_practice100

파이썬을 활용하여 파이썬으로 만들어 볼 수 있는 여러가지 다양한 종류의 프로그램

pytorch-forecasting

Time series forecasting with PyTorch

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch-template

PyTorch deep learning projects made easy.

pytorch_active_learning

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

pytorch_bayesian_unet

Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)

question

use for questions

reinforcement-learning

강화학습 알고리즘 및 코드 구현

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

research-review

딥러닝 논문을 리뷰하고 리뷰한 자료를 만든 공간입니다.

reward_design_with_llms

rl

David Silver의 RL 자료정리

rl-1

Reinforcement Learning For Programmer

rl-exploration-baselines

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

semantic-segmentation

Semantic Segmentation

seq2point-nilm

Sequence-to-point learning for non-intrusive load monitoring

sgu_2022_nlp

자연어처리(AIE6211-01) 자료 모음

shap

A game theoretic approach to explain the output of any machine learning model.

sharp-maml

Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning

smart-pytorch

PyTorch – SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models.

smarts

Scalable Multi-Agent RL Training School for Autonomous Driving

stan

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations