Sejik's starred repositories
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
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
ViT-Adapter
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
scalable_agent
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
EfficientZero
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
torchbeast
A PyTorch Platform for Distributed RL
AdvancedML
Reading list for the Advanced Machine Learning Course
reptile-pytorch
A PyTorch implementation of OpenAI's REPTILE algorithm
FractalDB-Pretrained-ResNet-PyTorch
Pre-training without Natural Images (ACCV 2020 Best Paper Honorable Mention Award)
Awesome-Transformer-in-CV
A Survey on Transformer in CV.
MoE-Adapters4CL
Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024
Performance-comparison-of-GAN-on-cifar-10
Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10
cifar10-c-eval
Testing a model performance for CIFAR10-C
asynchronous_impala_PPO
Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation
Batched-Impala-PyTorch
Reinforcement learning - Batched Impala - PyTorch - Mario Kart
ImageRecognitionDataset
Caltech101/256, CIFAR-10/100, MNIST/FashionMNIST