relu
There are 146 repositories under relu topic.
zjhellofss/KuiperInfer
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
ducha-aiki/caffenet-benchmark
Evaluation of the CNN design choices performance on ImageNet-2012.
ahmedfgad/NumPyCNN
Building Convolutional Neural Networks From Scratch using NumPy
cog-imperial/OMLT
Represent trained machine learning models as Pyomo optimization formulations
Islanna/DynamicReLU
Implementation of Dynamic ReLU on Pytorch
GSimas/Deep-LearningAI
🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)
stevenobadja/math_object_detection
An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
ahmedfgad/CIFAR10CNNFlask
Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
hwalsuklee/numpy-neuralnet-exercise
Implementation of key concepts of neuralnetwork via numpy
zer0int/CLIP-fine-tune-registers-gated
Vision Transformers Needs Registers. And Gated MLPs. And +20M params. Tiny modality gap ensues!
11fenil11/Covid19-Detection-Using-Chest-X-Ray
Covid-19 detection in chest x-ray images using Convolution Neural Network.
KarhouTam/cuda-kernels
Some common CUDA kernel implementations (Not the fastest).
luca-parisi/quantum_relu
QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch
deep-learning-algorithm/PyNet
Numpy implementation of deep learning
kavishsanghvi/fauna-image-classification-using-convolutional-neural-network
Convolutional neural network for classification of animal images on Animal-10 dataset
dataplayer12/swish-activation
Repo for my blogs explaining swish activation function
EPSOFT/Deep-Learning
Deep Learning
EPSOFT/layers
layers
Kaleidophon/know-your-limits
Repository for UAI 2021 paper "Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fail at Reliable OOD Detection".
sharmaroshan/MNIST-Dataset
Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.
YeongHyeon/Compare_Activation_Function
Compare vanishing gradient problem case by case.
aysebilgegunduz/FeedFwBackProp
Simple multi layer perceptron application using feed forward back propagation algorithm
tejaslodaya/tensorflow-signs-cnn
An algorithm that facilitates communication between a speech-impaired person and someone who doesn't understand sign language using convolution neural networks
avvineed/Convolutional-neural-network-Numpy
Convolutional Neural Network with just Numpy and no other MLLibs
ThinamXx/GAN
I have prepared a Deep Convolutional Generative Adversarial Networks here.
AFAgarap/vanishing-gradients
Avoiding the vanishing gradients problem by adding random noise and batch normalization
kastalimohammed1965/CLIP-fine-tune-registers-gated
Vision Transformers Needs Registers. And Gated MLPs. And +20M params. Tiny modality gap ensues!
Zahra-Bakhtiari/Building-Deep-Neural-Network-Step-by-Step-Instruction
building a deep neural network with as many layers as you want!
bhattbhavesh91/activiation-functions
Simple Tutorial to Explain the Pros and Cons of Sigmoid Activation Function
hamk3010/Tweet-Classifier
A repository with Twitter data and tweet classifiers using several machine learning approaches to measure the accuracy and performance of the approaches on classifying tweets.🐧
kaintels/torchact
TorchAct, collection of activation function for PyTorch. https://pypi.org/project/torchact/
FabioSmuu/artificial.js
This is an ongoing project intended to make it easier to use neural network creation, genetic algorithms, and other data science and machine learning skills.
MusaChowdhury/Approximating-Continuous-Function-With-ReLU
ReLU's Function Approximation
SharathHebbar/Softmax-as-intermediate-layer-CNN
Softmax-as-intermediate-layer-CNN