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annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

avec-dds-2019

AVEC2019 challenge code

avec2019

Baseline scripts for the Audio/Visual Emotion Challenge 2019

benchmark_eps

A Benchmark for Edge-Preserving Image Smoothing.

client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

daic_woz_nlp

NLP/ Linguistic Approach to modelling PHQ8 scores.

daic_woz_process

deepspectrum

deeptcn

depression-detect

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

depression-detection

Depression detection using multi-modal fusion framework composed of deep convolutional neural network (DCNN) and deep neural network (DNN) models.

depression-detection-through-multi-modal-data

Conventionally depression detection was done through extensive clinical interviews, wherein the subject’s re- sponses are studied by the psychologist to determine his/her mental state. In our model, we try to imbibe this approach by fusing the 3 modalities i.e. word context, audio, and video and predict an output regarding the mental health of the patient. The output is divided into a binary yes/no denoting whether the patient has symptoms of depression. We’ve built a deep learning model that fuses these 3 modalities, assigning them appropriate weights, and thus gives an output.

depression-prediction

Improving depression prediction using a novel feature selection algorithm coupled with context-aware analysis

dped

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

end2end-asr-pytorch

End-to-End Automatic Speech Recognition on PyTorch

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

hfut-market

微信小程序实现的hfut微市场交易信息交流平台

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

leetcode-python

LeetCode solutions in Python2. LeetCode题解 in Python2。

machine-learning-session

manifold-learning

Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

models

Models and examples built with TensorFlow

multimodal-deep-learning

This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

netron

Visualizer for neural network, deep learning, and machine learning models

nima.pytorch

NIMA: Neural IMage Assessment

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

opence

Contrast Enhancement Techniques for low-light images

openxbow

openXBOW - the Passau Open-Source Crossmodal Bag-of-Words Toolkit