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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, ... 🧠

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peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

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stable-diffusion-webui

Stable Diffusion web UI

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AnimateDiff

Official implementation of AnimateDiff.

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DGTN

[ICDMW 2020] Code and dataset for "DGTN: Dual-channel Graph Transition Network for Session-based Recommendation"

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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OpenFE

OpenFE: automated feature generation with expert-level performance

Language:PythonMIT77700

session-rec

Python-based framework for building and evaluating session-based and session-aware recommender systems.

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RecBole

A unified, comprehensive and efficient recommendation library

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CORE

[SIGIR'22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space".

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SR-GNN

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

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STEP

Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

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cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

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tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

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NeuralCDE

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

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sha-rnn

Single Headed Attention RNN - "Stop thinking with your head"

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DynamicLSTM

Code for AAAI 2019 paper "Long Short-Term Memory with Dynamic Skip Connections". https://arxiv.org/abs/1811.03873

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tab-transformer-pytorch

Implementation of TabTransformer, attention network for tabular data, in Pytorch

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liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

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Tabular-data-generation

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

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iterative-stratification

scikit-learn cross validators for iterative stratification of multilabel data

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temperature_scaling

A simple way to calibrate your neural network.

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nmrglue

A module for working with NMR data in Python

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speechbrain

A PyTorch-based Speech Toolkit

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CoTNet

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

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leaf-audio

LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks, and then be trained for the task at hand, while using a very small number of parameters.

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PyTorchWavelets

PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)

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PyTorch-Deformable-Convolution-v2

Don't feel pain to use Deformable Convolution

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Deformable-Convolution-V2-PyTorch

Deformable ConvNets V2 (DCNv2) in PyTorch

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