Data Science Roadmap from Scratch to Professional
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Updated
Jul 16, 2024 - Jupyter Notebook
Data Science Roadmap from Scratch to Professional
Quantization of Models : Post-Training Quantization(PTQ) and Quantize Aware Training(QAT)
Undergraduate Thesis : an improved Deeplabv3+ algorithm
[IJCV 2024] Towards Unified Defense for Face Forgery and Spoofing Attacks via Dual Space Reconstruction Learning
Template implementation. RBM-based Recommender System on MovieLens 1M Dataset
Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/
Code I used for my YouTube videos
[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
LibCity: An Open Library for Urban Spatial-temporal Data Mining
This repository contains implementations of prominent computer vision deep learning architectures. The focus is on simplifying these architectures while relying solely on the PyTorch library. The goal is to provide accessible and streamlined versions of key models in the field.
An unofficial implementation of the Pure Dilated Residual U-Net architecture.
A DDSP-based neural vocoder.
This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR23).
Implementation of "Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring". (Zhang et al., CVPR 2024)
An implementation of Neural Style Transfer (as shown in Gatys et al) using Pytorch.
This repository includes the pytorch implementation of Cerebral LSTM.
Repo with code used in the "Deploying ML Into Production" video tutorial on The Sound of AI channel
Implementation of "Attention is all you need" Paper with only PyTorch
A resource for learning about Machine learning & Deep Learning
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