42 Open source projects that are alternatives of or similar to Pytorch Deform Conv

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

deeplearning.ai , By Andrew Ng, All video link

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

RAD: Reinforcement Learning with Augmented Data

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Hands-On Deep Learning Algorithms with Python, By Packt

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Hand Written course notes of Deep Learning Specialization by Andrew NG on Coursera

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

A C++11 implementation of the B-Tree part of "The Case for Learned Index Structures"

Study and implementation about deep learning models, architectures, applications and frameworks

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.

"Arbitrary Style Transfer with Style-Attentional Networks" (CVPR 2019)

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

Machine Learning notebooks for refreshing concepts.

Deep learning software for colorizing black and white images with a few clicks.

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

The deeplearning algorithms implemented by tensorflow

🤖 Implements of Reinforcement Learning algorithms.

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

📢 Ready to learn or review your knowledge!

This repository will contain the example detailed codes of Tensorflow and Keras, This repository will be useful for Deep Learning staters who find difficult to understand the example codes

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