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Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks
This repository contains demos I made with the Transformers library by HuggingFace.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A living benchmark framework for symbolic regression
A curated list of awesome neural radiance fields papers
Extract deep learning features from images using simple python interface
Godot Engine – Multi-platform 2D and 3D game engine
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
zhuangqh / machine-learning-for-software-engineers
Forked from ZuzooVn/machine-learning-for-software-engineersA complete daily plan for studying to become a machine learning engineer.
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
📚 免费的计算机编程类中文书籍，欢迎投稿
Questions to ask the company during your interview
This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju
A curated list of awesome Deep Learning tutorials, projects and communities.
《Python Cookbook》 3rd Edition Translation
Submanifold sparse convolutional networks
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
3D ResNets for Action Recognition (CVPR 2018)
A simple implementation of Style-Based Generator Architecture for Generative Adversarial Networks with pytorch