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alexlens

AlexLens is an Image Classification and Transfer Learning program for heterogeneous platforms with the Neural-Net-Classification built from scratch. It was developed during a project at KIT.

annotated_deep_learning_paper_implementations

🧑‍🏫 59 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, ... 🧠

asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

awesome-graph-explainability-papers

Papers about explainability of GNNs

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-trustworthy-deep-learning

A curated list of trustworthy deep learning papers. Daily updating...

beamer-theme-matrix

Shows variations of the Beamer LaTeX package's themes and color themes

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bilinearcnn

chromium

Chromium browser with SSL VPN. Use this browser to unblock websites.

coding

conveyorbeltsimulator

This is a simple simulator for a conveyor belt, with the purpose to enable research and test algorithms related to state estimation and tracking of objects on the conveyor.

deep-learning-roadmap

:satellite: All You Need to Know About Deep Learning - A kick-starter

deepsim

Deep learning code semantic similarity

deepspeechrecognition

A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型

devign

Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks

dgcn

The pytorch code of DGCN(TITS)

distillgcn.pytorch

Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dl4traffic

This is the repository for the collection of Deep Learning for Traffic Prediction Problems.

dysat

Representation learning on dynamic graphs using self-attention networks

gcn-gan-pytorch

A pytorch implemention of GCN-GAN for temporal link prediction.

gnn

Tutorial about Graph Convolutional Network(GCN)

gnnpapers

Must-read papers on graph neural networks (GNN)

gru_attention_trafficflowprediction

image-processing-python

Tutorial for Image Processing in Python

img2vec

:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image