735 Open source projects that are alternatives of or similar to Nfnets Pytorch

Implementing reinforcement-learning algorithms for pysc2 -environment

Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".

CVPR 2021 论文和开源项目合集

论文写作与资料分享

Source to the Aikar's Minecraft Timings Viewer

knowledge distillation papers

Self-supervised Deep LiDAR Odometry for Robotic Applications

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

Deep Learning and deep reinforcement learning research papers and some codes

Implementation of Bottleneck Transformer in Pytorch

Some of the ML and DL related reading materials, research papers that I've read

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Tensorflow Implementation of Visual Interaction Networks

Peer-to-peer hypermedia protocol

Object Recognition using TensorFlow and Java

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

AFPlan is an architectural floor plan analysis and recognition system to create extended plans for building services.

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

ACM-ICPC-resource chinese

Dataset of images of trash; Torch-based CNN for garbage image classification

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Visual Tracking Paper List

A simple, flexible, and extensible template for PyTorch. It's beautiful.

A text generation reading list maintained by Tsinghua Natural Language Processing Group.

Natural Language Processing Tutorial for Deep Learning Researchers

Action recognition using soft attention based deep recurrent neural networks

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

The best resources around Machine Learning

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

Tensorflow implementation of CycleGAN

Add custom NBT tags to Items/Tiles/Entities without NMS!

Spriteworld: a flexible, configurable python-based reinforcement learning environment

Snipit allows you to capture and save interesting sections from any source of information. Be it textbooks, journals, computer screens, photographs, flyers, writings on a whiteboard, etc.

Akarin is a powerful (not yet) server software from the 'new dimension'

Spiritual inheritance of mcpc+/thermos/Cauldron, full support spigot/sponge/forge/bukkit/paper API

🍎 My own face recognition with deep neural networks.

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Summaries of machine learning papers

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

My Distributed Systems references

Differentiable architecture search for convolutional and recurrent networks

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Neural networks training pipeline based on PyTorch

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

High performance Spigot fork that aims to fix gameplay and mechanics inconsistencies

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

😎 face releated algorithm, dataset and paper

Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"

Notes and Summaries on ML-related Research Papers (with optional implementations)

2020-2021年计算机视觉综述论文分方向整理

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Sandbox for training deep learning networks

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)