deep-blueberryIf 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!
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Machine Learning AlgorithmsA curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.
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DeeplearningThis 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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Gluon ApiA clear, concise, simple yet powerful and efficient API for deep learning.
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Deeplearning.aideeplearning.ai , By Andrew Ng, All video link
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NumpydlDeep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
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Image Text Localization RecognitionA 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
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Seal CiA PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
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CurlCURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
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python autocompleteUse Transformers and LSTMs to learn Python source code
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MarianaThe Cutest Deep Learning Framework which is also a wonderful Declarative Language
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Fire Detection Cnnreal-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)
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EchoPython package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
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Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
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AMP-RegularizerCode for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
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pytorch-deepdreamPyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.
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LadderLadder network is a deep learning algorithm that combines supervised and unsupervised learning.
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PetridishnnCode for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
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Deep-LearningStudy and implementation about deep learning models, architectures, applications and frameworks
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Sparse Evolutionary Artificial Neural NetworksAlways 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).
Stars: ✭ 182 (-11.65%)
Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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Predictive Maintenance Using LstmExample of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
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RadRAD: Reinforcement Learning with Augmented Data
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LivianetThis 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"
Stars: ✭ 143 (-30.58%)
lectures-allCentral repository for all lectures on deep learning at UPC ETSETB TelecomBCN.
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HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
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learned indicesA C++11 implementation of the B-Tree part of "The Case for Learned Index Structures"
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SANET"Arbitrary Style Transfer with Style-Attentional Networks" (CVPR 2019)
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datascience-mashupIn 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.
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WordgcnACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
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ColorizationAutomatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
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HordEfficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
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Ml GlossaryMachine learning glossary
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360sd NetPytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"
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Vgg19 with tensorflowAn easy implement of VGG19 with tensorflow, which has a detailed explanation.
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Tensorflow-MLDifferent machine learning algorithms implementation in Tensorflow
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Dive Into Dl Pytorch本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
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sia-cogVarious cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.
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sparsezooNeural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
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nuts-mlFlow-based data pre-processing for deep learning
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Alexnet with tensorflowan implement of AlexNet with tensorflow, which has a detailed explanation.
Stars: ✭ 139 (-32.52%)