rasbt / deeplearning-models
A collection of various deep learning architectures, models, and tips
☆16,843Updated 11 months ago
Alternatives and similar repositories for deeplearning-models:
Users that are interested in deeplearning-models are comparing it to the libraries listed below
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆15,593Updated 11 months ago
- PyTorch Tutorial for Deep Learning Researchers☆30,589Updated last year
- PRML algorithms implemented in Python☆11,526Updated 3 months ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,898Updated this week
- PyTorch tutorials.☆8,346Updated this week
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆22,626Updated 2 months ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆11,633Updated last week
- This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.☆4,259Updated 5 months ago
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.☆28,807Updated last week
- State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enter…☆13,831Updated 5 months ago
- The fastai deep learning library☆26,505Updated last month
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,337Updated last month
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,053Updated 2 years ago
- Datasets, Transforms and Models specific to Computer Vision☆16,468Updated this week
- A technical report on convolution arithmetic in the context of deep learning☆14,160Updated last year
- Build your neural network easy and fast, 莫烦Python中文教学☆8,198Updated last year
- Must-read papers on graph neural networks (GNN)☆16,177Updated last year
- Simple examples to introduce PyTorch☆4,733Updated 2 years ago
- NYU Deep Learning Spring 2020☆6,704Updated 4 months ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆38,626Updated 2 years ago
- Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.☆4,822Updated 5 months ago
- PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)☆12,279Updated last year
- Machine learning, in numpy☆15,863Updated last year
- An open-source NLP research library, built on PyTorch.☆11,782Updated 2 years ago
- Visualizer for neural network, deep learning and machine learning models☆29,114Updated this week
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆18,915Updated 6 months ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,252Updated last year
- starter from "How to Train a GAN?" at NIPS2016☆11,501Updated 3 years ago
- Best Practices, code samples, and documentation for Computer Vision.☆9,596Updated 11 months ago
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,467Updated 5 months ago