HELL-TO-HEAVEN

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

bert

TensorFlow code and pre-trained models for BERT

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

BERT-pytorch

Google AI 2018 BERT pytorch implementation

camel

🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org

Awesome-Super-Resolution

Collect super-resolution related papers, data, repositories

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

TransFusion

[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496

Retinexformer

"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)

Illumination-Adaptive-Transformer

[BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

DreamDiffusion

Implementation of “DreamDiffusion: Generating High-Quality Images from Brain EEG Signals”

brainmagick

Training and evaluation pipeline for MEG and EEG brain signal encoding and decoding using deep learning. Code for our paper "Decoding speech perception from non-invasive brain recordings" published in Nature Machine Intelligence, 2023.

JSeg

JSeg is a Semantic segmentation toolbox based on MMSegmentation and Jittor

MARCONet

Learning Generative Structure Prior for Blind Text Image Super-resolution [CVPR 2023]

Omni-SR

[CVPR2023] Implementation of ''Omni Aggregation Networks for Lightweight Image Super-Resolution".

are-16-heads-really-better-than-1

Code for the paper "Are Sixteen Heads Really Better than One?"

TPGSR

Code for Text Prior Guided Scene Text Image Super-Resolution (TIP 2023)

QCNN

quantum convolutional neural network - simulations

r-drop

R-Drop方法在中文任务上的简单实验

DLGSANet

pytorch_bert

Tutorial for how to build BERT from scratch

scene-text-detection-recognition-papers

DPF

KPN

The code of Kernel Proposal Network for Arbitrary Shape Text Detection. The paper has been accepted by TNNLS 2022, which is available at: https://arxiv.org/abs/2203.06410

generalize_lm_nli

Code for the paper EMNLP 2021 workshop paper "Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics"

TCSR

Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution

URNet

This repository is an official PyTorch implementation of the paper "URNet: An U-shaped Residual Network for Lightweight Image Super-resolution"．

2021-ACMMM-PCAN

Awesome-Real-time-Semantic-Segmentation

TransFusion

[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496