Trending repositories for topic paper-implementations
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
Stable Diffusion implemented from scratch in PyTorch
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
A Collection of Variational Autoencoders (VAE) in PyTorch.
Implementation of the paper "Denoising Diffusion Probabilistic Models" in PyTorch
LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
[ICLR2024] Official repo for paper "PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code"
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
Implementation of the paper "Denoising Diffusion Probabilistic Models" in PyTorch
LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
[ICLR2024] Official repo for paper "PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code"
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
A Collection of Variational Autoencoders (VAE) in PyTorch.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
[ICLR2024] Official repo for paper "PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code"
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
Implementation of the paper "Denoising Diffusion Probabilistic Models" in PyTorch
LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
Vision Transformer explanation and implementation with PyTorch
In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
Implementation of the paper "Improved DeepFake Detection Using Whisper Features"
A PyTorch implementation of SRNTT, which is a novel RefSR method.
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
Algorithm implementation for my Edge Computing-related papers.
Implementation of the paper "Denoising Diffusion Probabilistic Models" in PyTorch
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
Vision Transformer explanation and implementation with PyTorch
[ICLR2024] Official repo for paper "PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code"
LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
Implementation of the paper "Improved DeepFake Detection Using Whisper Features"
A Collection of Variational Autoencoders (VAE) in PyTorch.
A PyTorch implementation of SRNTT, which is a novel RefSR method.
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
Algorithm implementation for my Edge Computing-related papers.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
[ICLR2024] Official repo for paper "PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code"
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
Implementation of the paper "Improved DeepFake Detection Using Whisper Features"
LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
Implementation of the paper "Denoising Diffusion Probabilistic Models" in PyTorch
ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining
Vision Transformer explanation and implementation with PyTorch
Handwriting generation and handwriting synthesis as described in Alex Graves's paper https://arxiv.org/abs/1308.0850. Pytorch implementation.
Generative Adversarial Networks implemented in PyTorch and Tensorflow
Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
PyTorch version for the "Micro-expression Recognition Based on Facial Graph Representation Learning and Facial Action Unit Fusion"
Implementation of the paper "Denoising Diffusion Probabilistic Models" in PyTorch
Stable Diffusion implemented from scratch in PyTorch
Vision Transformer explanation and implementation with PyTorch
[ICLR2024] Official repo for paper "PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code"
Implementation of the paper "Improved DeepFake Detection Using Whisper Features"
LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
Handwriting generation and handwriting synthesis as described in Alex Graves's paper https://arxiv.org/abs/1308.0850. Pytorch implementation.
PyTorch version for the "Micro-expression Recognition Based on Facial Graph Representation Learning and Facial Action Unit Fusion"
Implementation of "SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection" paper
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
An Amharic News Text classification Dataset
An unofficial implementation of TubeViT in "Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning"
ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining
Implementation of "Defense against Adversarial Attacks on Audio DeepFake Detection"
A Collection of Variational Autoencoders (VAE) in PyTorch.
An implementation of (Google）Long-term Time Series Forecasting with TiDE: Time-series Dense Encoder