Neural Network
Artificial neural networks (ANN) are computational systems that “learn” to perform tasks by considering examples, generally without being programmed with any task-specific rules.
- GitHub: https://github.com/topics/neural-network
- Wikipedia: https://en.wikipedia.org/wiki/Artificial_neural_network
- Related Topics: machine-learning, deep-learning, tensorflow,
- Aliases: artificial-neural-network,
- Last updated: 2025-05-02 00:19:26 UTC
- JSON Representation
https://github.com/caoscott/srec
PyTorch Implementation of "Lossless Image Compression through Super-Resolution"
compression lossless neural-network pytorch
Last synced: 12 Apr 2025
https://github.com/robbiebarrat/rapping-neural-network
Rap song writing recurrent neural network trained on Kanye West's entire discography
generative-art learning lyrics machine mp3 neural-network rap rap-songs rhymes songs songwriting
Last synced: 12 Apr 2025
https://github.com/caoscott/SReC
PyTorch Implementation of "Lossless Image Compression through Super-Resolution"
compression lossless neural-network pytorch
Last synced: 22 Nov 2024
https://github.com/huggingface/pytorch-pretrained-biggan
🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
artificial-intelligence biggan computer-vision gan generative-adversarial-network neural-network pytorch
Last synced: 08 Apr 2025
https://github.com/kinwaicheuk/nnaudio
Audio processing by using pytorch 1D convolution network
1d-convolution audio-processing cqt-spectrogram melspectrogram neural-network preprocessing pytorch spectrogram spectrogram-conversion-toolbox stft
Last synced: 13 Apr 2025
https://github.com/KinWaiCheuk/nnAudio
Audio processing by using pytorch 1D convolution network
1d-convolution audio-processing cqt-spectrogram melspectrogram neural-network preprocessing pytorch spectrogram spectrogram-conversion-toolbox stft
Last synced: 22 Nov 2024
https://github.com/huggingface/pytorch-pretrained-BigGAN
🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
artificial-intelligence biggan computer-vision gan generative-adversarial-network neural-network pytorch
Last synced: 27 Nov 2024
https://github.com/bighuang624/andrew-ng-deep-learning-notes
吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course
andrew-ng andrew-ng-course coursera deep-learning neural-network
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https://github.com/IBM/MAX-Image-Resolution-Enhancer
Upscale an image by a factor of 4, while generating photo-realistic details.
ai codait computer-vision docker-image ibm machine-learning machine-learning-models neural-network tensorflow
Last synced: 14 Mar 2025
https://github.com/ibm/max-image-resolution-enhancer
Upscale an image by a factor of 4, while generating photo-realistic details.
ai codait computer-vision docker-image ibm machine-learning machine-learning-models neural-network tensorflow
Last synced: 09 Apr 2025
https://github.com/awslabs/multi-model-server
Multi Model Server is a tool for serving neural net models for inference
ai deep-learning inference mxnet neural-network onnx server
Last synced: 17 Apr 2025
https://github.com/SciML/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
differential-equations differentialequations machine-learning neural-differential-equations neural-network neural-networks ode ordinary-differential-equations partial-differential-equations pde pinn scientific-ai scientific-machine-learning scientific-ml sciml
Last synced: 14 Mar 2025
https://github.com/MaurizioFD/RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
bpr bprmf bprslim collaborative-filtering content-based-recommendation deep-learning evaluation-framework funksvd hybrid-recommender-system hyperparameters knn matrix-completion matrix-factorization neural-network recommendation-algorithms recommendation-system recommender-system reproducibility reproducible-research slimelasticnet
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https://github.com/harveyslash/facial-similarity-with-siamese-networks-in-pytorch
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https://github.com/mybridge/machine-learning-open-source
Monthly Series - Machine Learning Top 10 Open Source Projects
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https://github.com/Mybridge/machine-learning-open-source
Monthly Series - Machine Learning Top 10 Open Source Projects
ai algorithm artificial-intelligence data-science machine-learning neural-network
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https://github.com/WenjieDu/PyPOTS
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
classification clustering data-mining data-science deep-learning forecasting healthcare imputation incomplete industrial interpolation machine-learning missing-values missingness neural-network partially-observed-time-series pytorch science-research time-series time-series-analysis
Last synced: 01 Apr 2025
https://github.com/BMW-InnovationLab/BMW-TensorFlow-Training-GUI
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.
computer-vision computervision deep-learning deep-neural-networks deeplearning detection-api docker gui inference-api machine-learning neural-network no-code object-detection objectdetection resnet rest-api tensorboard tensorflow tensorflow-gui tensorflow2
Last synced: 07 Apr 2025
https://github.com/shagunsodhani/papers-I-read
A-Paper-A-Week
analytics artificial-intelligence computer-science deep-learning machine-learning neural-network research-paper
Last synced: 02 Apr 2025
https://github.com/thoughtworksarts/EmoPy
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
deep-neural-networks emotion emotion-recognition face facial-expression-recognition fer neural-nets neural-network python
Last synced: 15 Nov 2024
https://github.com/vietnh1009/quickdraw
Implementation of Quickdraw - an online game developed by Google
cnn computer-vision cv2 deep-learning deep-neural-networks deeplearning image-classification neural-network neural-networks opencv opencv-python python python3 pytorch quickdraw quickdraw-dataset
Last synced: 12 Apr 2025
https://github.com/google/hypernerf
Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".
3d machine-learning nerf neural-network neural-rendering novel-view-synthesis
Last synced: 11 Apr 2025
https://github.com/google/hyperNeRF
Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".
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https://github.com/epsilla-cloud/vectordb
Epsilla is a high performance Vector Database Management System. Try out hosted Epsilla at https://cloud.epsilla.com/
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https://github.com/mert-kurttutan/torchview
torchview: visualize pytorch models
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https://github.com/nvidia/retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
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Last synced: 12 Apr 2025
https://github.com/vietnh1009/QuickDraw
Implementation of Quickdraw - an online game developed by Google
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Last synced: 27 Nov 2024
https://github.com/NVIDIA/retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
deep-learning neural-network object-detection python pytorch retinanet tensorrt
Last synced: 27 Nov 2024
https://github.com/tensorflow/compression
Data compression in TensorFlow
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Last synced: 10 Apr 2025
https://github.com/trekhleb/machine-learning-octave
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
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https://github.com/keyvank/femtogpt
Pure Rust implementation of a minimal Generative Pretrained Transformer
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Last synced: 11 Apr 2025
https://github.com/FORTH-ModelBasedTracker/MocapNET
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
2d-to-3d 3d-animation 3d-pose-estimation bvh bvh-format computer-vision demo ensemble gesture-recognition mocap neural-network pose-estimation real-time rgb-images tensorflow webcam
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https://github.com/alibaba/bladedisc
BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
compiler deep-learning inference-optimization machine-learning mlir neural-network pytorch tensorflow
Last synced: 02 Apr 2025
https://github.com/alibaba/BladeDISC
BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
compiler deep-learning inference-optimization machine-learning mlir neural-network pytorch tensorflow
Last synced: 19 Mar 2025
https://github.com/longxingtan/time-series-prediction
tfts: Time Series Deep Learning Models in TensorFlow
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Last synced: 11 Apr 2025
https://github.com/LongxingTan/Time-series-prediction
tfts: Time Series Deep Learning Models in TensorFlow
deep-learning forecasting keras-forecasting keras-prediction keras-time-series machine-learning neural-network prediction seq2seq tensorflow tf2 time-series time-series-forecast time-series-forecasting timeseries transformer wavenet
Last synced: 01 Apr 2025
https://github.com/d0r1h/ML-University
Machine Learning Open Source University
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https://github.com/amodinho/datacamp-python-data-science-track
All the slides, accompanying code and exercises all stored in this repo. 🎈
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Last synced: 08 Apr 2025
https://github.com/nyukat/breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
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Last synced: 20 Nov 2024
https://github.com/keyvank/femtoGPT
Pure Rust implementation of a minimal Generative Pretrained Transformer
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Last synced: 04 Apr 2025
https://github.com/AmoDinho/datacamp-python-data-science-track
All the slides, accompanying code and exercises all stored in this repo. 🎈
bokeh data-science datacamp datacamp-course datacamp-exercises datacamp-machine-learning datacamp-projects datacamp-python datacamp-solutions-python datascience machinelearning natural-language-processing neural-network neural-networks nlp pandas python scikit-learn tokenization
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https://github.com/lmnt-com/diffwave
DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.
deep-learning diffwave machine-learning neural-network paper pretrained-models pytorch speech speech-synthesis text-to-speech tts vocoder
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https://github.com/deepgram/kur
Descriptive Deep Learning
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https://github.com/keke-li/tutorial
Deeplearning Algorithms Tutorial
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Deeplearning Algorithms Tutorial
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https://github.com/kennethleungty/neural-network-architecture-diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
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Last synced: 16 Mar 2025
https://github.com/996refuse/zheye
者也 - 知乎 倒立的文字 汉字验证码识别程序
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https://github.com/benedekrozemberczki/clustergcn
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
clustering community-detection deep-learning deepwalk diff2vec gcn gemsec graph-clustering graph-convolution graph-convolutional-networks graph-neural-networks graph2vec graphsage louvain metis musae neural-network node-classification node2vec pytorch
Last synced: 04 Apr 2025
https://github.com/thealgorithms/jupyter
The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation.
algorithms data-science data-structures deep-learning hacktoberfest machine-learning neural-network
Last synced: 08 Apr 2025
https://github.com/TheAlgorithms/Jupyter
The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation.
algorithms data-science data-structures deep-learning hacktoberfest machine-learning neural-network
Last synced: 13 Nov 2024
https://github.com/benedekrozemberczki/simgnn
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
attention-mechanism deep-learning gcn ged gnn graph-attention graph-classification graph-convolution graph-edit-distance graph-embedding graph-similarity machine-learning network-embedding neural-network pytorch simgnn sklearn tensor-network tensorflow wsdm
Last synced: 13 Apr 2025
https://github.com/jasmcaus/caer
High-performance Vision library in Python. Scale your research, not boilerplate.
ai artificial-intelligence augmentation caer computer-vision cuda data-science deep-learning gpu image-classification image-processing image-segmentation machine-learning neural-network opencv python segmentation type-checking video-processing vision
Last synced: 07 Apr 2025
https://github.com/kdexd/digit-classifier
A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.
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Last synced: 27 Nov 2024
https://github.com/benedekrozemberczki/ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
clustering community-detection deep-learning deepwalk diff2vec gcn gemsec graph-clustering graph-convolution graph-convolutional-networks graph-neural-networks graph2vec graphsage louvain metis musae neural-network node-classification node2vec pytorch
Last synced: 01 May 2025
https://github.com/taichi-dev/taichi-nerfs
Implementations of NeRF variants based on Taichi + PyTorch
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https://github.com/ragulpr/wtte-rnn
WTTE-RNN a framework for churn and time to event prediction
churn-prediction failure-rate keras machine-learning-algorithms neural-network rnn tensorflow weibull
Last synced: 08 Apr 2025
https://github.com/thoughtworksinc/deeplearning.scala
A simple library for creating complex neural networks
automatic-differentiation deep-learning deep-neural-networks domain-specific-language dsl functional-programming machine-learning neural-network scala symbolic-computation
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https://github.com/atomistic-machine-learning/schnetpack
SchNetPack - Deep Neural Networks for Atomistic Systems
condensed-matter machine-learning molecular-dynamics neural-network quantum-chemistry
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https://github.com/neoml-lib/neoml
Machine learning framework for both deep learning and traditional algorithms
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Last synced: 12 Apr 2025
https://github.com/oramasearch/onnx-go
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
go gorgonia machine-learning neural-network onnx open-source protobuf software2
Last synced: 09 Apr 2025
https://github.com/benedekrozemberczki/SimGNN
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
attention-mechanism deep-learning gcn ged gnn graph-attention graph-classification graph-convolution graph-edit-distance graph-embedding graph-similarity machine-learning network-embedding neural-network pytorch simgnn sklearn tensor-network tensorflow wsdm
Last synced: 28 Nov 2024
https://github.com/vivekpa/introneuralnetworks
Introducing neural networks to predict stock prices
algorithmic-trading data-science finance guide keras-tensorflow lstm-neural-networks machine-learning mlp-networks neural-network prediction prediction-mod python quantitative-finance regression-models stock-price-prediction stock-prices trading trading-strategies tutorial yahoo-finance
Last synced: 04 Apr 2025
https://github.com/wx-chevalier/AI-Notes
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记
artificial-intelligence datascience deeplearning machinelearning natural-language-processing neural-network wx-doc
Last synced: 15 Nov 2024
https://github.com/ikergarcia1996/Self-Driving-Car-in-Video-Games
A deep neural network that learns to drive in video games
autonomous-driving deep-learning deep-neural-network machine-learning neural-network pretrained-models python pytorch self-driving-car supervised-learning video-games videogame videogame-bot
Last synced: 17 Dec 2024
https://github.com/ikergarcia1996/self-driving-car-in-video-games
A deep neural network that learns to drive in video games
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Last synced: 04 Apr 2025
https://github.com/kendryte/nncase
Open deep learning compiler stack for Kendryte AI accelerators ✨
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https://github.com/Xilinx/finn
Dataflow compiler for QNN inference on FPGAs
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https://github.com/itdxer/neupy
NeuPy is a Tensorflow based python library for prototyping and building neural networks
artificial-neural-networks boltzmann-machine deep-learning deep-neural-networks deeplearning hopfield lvq neupy neural-network pnn rbm sofm som tensorflow
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https://github.com/wagamamaz/tensorflow-tutorial
TensorFlow and Deep Learning Tutorials
autoencoder cnn convolutional-neural-networks deep-learning deep-learning-tutorial deep-reinforcement-learning keras machine-learning multi-layer-perceptron neural-machine-translation neural-network neural-networks nlp notebook recurrent-neural-networks reinforcement-learning tensorflow tensorflow-tutorials tensorlayer tflearn
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https://github.com/norse/norse
Deep learning with spiking neural networks (SNNs) in PyTorch.
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https://github.com/nnstreamer/nnstreamer
:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
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https://github.com/huntermcgushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost
Last synced: 12 Apr 2025
https://github.com/HunterMcGushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost
Last synced: 26 Apr 2025
https://github.com/attractivechaos/kann
A lightweight C library for artificial neural networks
Last synced: 04 Apr 2025
https://github.com/inspirehep/magpie
Deep neural network framework for multi-label text classification
classification deep-learning machine-learning multi-label-classification neural-network nlp prediction word2vec
Last synced: 04 Apr 2025
https://github.com/pplonski/keras2cpp
This is a bunch of code to port Keras neural network model into pure C++.
keras machine-learning neural-network
Last synced: 15 Mar 2025
https://github.com/maxpumperla/betago
BetaGo: AlphaGo for the masses, live on GitHub.
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https://github.com/kennethleungty/Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
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Last synced: 09 Apr 2025
https://github.com/adipandas/multi-object-tracker
Multi-object trackers in Python
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Last synced: 26 Mar 2025
https://github.com/hasnainraz/fast-srgan
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
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Last synced: 14 Apr 2025
https://github.com/HasnainRaz/Fast-SRGAN
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
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https://github.com/magiccube/tensorflow-rex-run
A TensorFlow.js based AI player platform for T-Rex Runner. T-Rex Runner is originally an easter egg game inside chrome.
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https://github.com/MagicCube/tensorflow-rex-run
A TensorFlow.js based AI player platform for T-Rex Runner. T-Rex Runner is originally an easter egg game inside chrome.
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https://github.com/jwchoi384/Gaussian_YOLOv3
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)
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https://github.com/chrischoy/fcgf
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
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https://github.com/chrischoy/FCGF
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
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https://github.com/rougier/ML-Recipes
A collection of stand-alone Python machine learning recipes
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https://github.com/rougier/ml-recipes
A collection of stand-alone Python machine learning recipes
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https://github.com/chainer/chainer-chemistry
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
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https://github.com/dickreuter/neuron_poker
Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.
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https://github.com/hollobit/All-About-the-GAN
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
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https://github.com/hollobit/all-about-the-gan
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
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https://github.com/aashrafh/mozart
An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.
mozart music music-sheet music-sheet-reading neural-network omr opencv optical-character-recognition optical-music-recognition reader skimage sklearn
Last synced: 04 Apr 2025
https://github.com/snakeztc/NeuralDialogPapers
Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)
chatbot deep-learning language neural-network reinforcement-learning
Last synced: 28 Apr 2025
https://github.com/BMW-InnovationLab/BMW-YOLOv4-Training-Automation
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
alexeyab-darknet automation computervision darknet deep-learning deeplearning docker gui monitoring neural-network no-code object-detection objectdetection rest-api tensorboard yolo yolo-gui yolo-tensorboard yolov3 yolov4
Last synced: 14 Mar 2025
https://github.com/rnchg/apt
AI Productivity Tool - Free and open source, improve user productivity, protect privacy and data security. Provide efficient and convenient AI solutions, built-in local exclusive ChatGPT, Phi, DeepSeek, one-click batch intelligent processing of pictures, videos, audio, etc.
ai ai-framework aigc audio-processing chatgpt computer-vision deep-learning deepseek generative-ai image-processing inference llm machine-learning machinelearning neural-network onnx onnxruntime video-processing
Last synced: 10 Apr 2025
https://github.com/rnchg/Apt
AI Productivity Tool - Free and open source, improve user productivity, protect privacy and data security. Provide efficient and convenient AI solutions, built-in local exclusive ChatGPT, Phi, DeepSeek, one-click batch intelligent processing of pictures, videos, audio, etc.
ai ai-framework aigc audio-processing chatgpt computer-vision deep-learning deepseek generative-ai image-processing inference llm machine-learning machinelearning neural-network onnx onnxruntime video-processing
Last synced: 24 Mar 2025
https://github.com/asreview/asreview
Active learning for systematic reviews
active-learning asreview deep-learning language-model learning-algorithms literature llm natural-language-processing neural-network research systematic-literature-reviews systematic-reviews utrecht-university
Last synced: 22 Nov 2024
https://github.com/morvanzhou/pytorch-a3c
Simple A3C implementation with pytorch + multiprocessing
a3c actor-critic asynchronous-advantage-actor-critic gym multiprocessing neural-network pytorch toy-example
Last synced: 04 Apr 2025
https://github.com/farukalamai/advanced-machine-learning-engineer-roadmap-2024
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.
aws computer-vision data-analysis data-science data-visualization deep-learning git-github machine-learning machine-learning-roadmap mlops natural-language-processing neural-network nlp opencv pandas python pytorch statistics tensorflow yolo
Last synced: 04 Apr 2025
