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A curated list of awesome things related to learning Zero-Knowledge Proofs (ZKP).
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
A curated list of awesome quantum computing learning and developing resources.
A collection of Jupyter notebooks developed by the community showing how to use Qiskit
A curated list of pretrained sentence and word embedding models
All Algorithms implemented in Python
Simple examples to introduce PyTorch
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Must-read papers on graph neural networks (GNN)
GeoJSON utilities that will make your life easier.
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Graph Neural Network Library for PyTorch
A lightweight python library that helps to keep track of numerical experiments
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
The most cited deep learning papers
A curated list of awesome Deep Learning tutorials, projects and communities.
resources for graph convolutional networks （图卷积神经网络相关资源）
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
PyTorch Tutorial for Deep Learning Researchers