stevenfyy's Stars
nestordemeure/fastai-extensions-repository
A list of extensions for the fastai library.
iosband/ts_tutorial
SMPyBandits/SMPyBandits
🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on
imarvinle/TeachYourselfCS-CN
TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS
SegmentationBLWX/sssegmentation
SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
qubvel/ttach
Image Test Time Augmentation with PyTorch!
shengyp/doing_the_PhD
system123/SOMatch
A Framework for Deep Learning-based Sparse SAR-Optical Image Matching
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
JunMa11/SegLossOdyssey
A collection of loss functions for medical image segmentation
XiangyunHuang/ElegantBookdown
:book: A bookdown wrapper for ElegantBook
ElegantLaTeX/ElegantNote
Elegant LaTeX Template for Notes
cvxgrp/cvxpylayers
Differentiable convex optimization layers
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
cycraig/MP-DQN
Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
inoryy/reaver
Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
geohot/ai-notebooks
Some ipython notebooks implementing AI algorithms
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
david-abel/simple_rl
A simple framework for experimenting with Reinforcement Learning in Python.
anyscale/academy
Ray tutorials from Anyscale
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
tensorlayer/TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
rail-berkeley/softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
jannerm/mbpo
Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
2019ChenGong/RL-Paper-notes
henrikmarklund/arm
amazon-science/meta-q-learning
Code for the paper "Meta-Q-Learning"( ICLR 2020)
tristandeleu/pytorch-maml-rl
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch