#convolutional-neural-networks (18 Repositories)
Ranked open-source repositories tagged with #convolutional-neural-networks, scored by pull request acceptance likelihood and maintainer engagement velocity.
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18 repositories tagged #convolutional-neural-networks
HuwCampbell/grenade
Deep Learning in Haskell
jdermody/brightwire
Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)
filipradenovic/cnnimageretrieval-pytorch
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
merantix/picasso
:art: A CNN visualizer
lumina37/rotate-captcha-crack
基于CNN的旋转验证码解决方案✨Predict the rotation angle of given captcha picture through CNN
astorfi/3D-convolutional-speaker-recognition
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
vaibhawvipul/First-steps-towards-Deep-Learning
This is an open sourced book on deep learning.
MTG/DeepConvSep
Deep Convolutional Neural Networks for Musical Source Separation
NVIDIA/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
aditya-vora/FCHD-Fully-Convolutional-Head-Detector
Code for FCHD - A fast and accurate head detector
PAIR-code/saliency
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
adalca/neurite
Neural networks toolbox focused on medical image analysis
WalkerLau/Accelerating-CNN-with-FPGA
This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.
AnubhavGupta3377/Text-Classification-Models-Pytorch
Implementation of State-of-the-art Text Classification Models in Pytorch
chihyaoma/Activity-Recognition-with-CNN-and-RNN
Temporal Segments LSTM and Temporal-Inception for Activity Recognition
js3611/Deep-MRI-Reconstruction
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
ritheshkumar95/im2latex-tensorflow
Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
analyticalrohit/AI-ML-Cheatsheets
All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.