relu

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

Evaluation of the CNN design choices performance on ImageNet-2012.

Building Convolutional Neural Networks From Scratch using NumPy

Represent trained machine learning models as Pyomo optimization formulations

Implementation of Dynamic ReLU on Pytorch

🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)

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.

Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.

Implementation of key concepts of neuralnetwork via numpy

Covid-19 detection in chest x-ray images using Convolution Neural Network.

Vision Transformers Needs Registers. And Gated MLPs. And +20M params. Tiny modality gap ensues!

Some common CUDA kernel implementations (Not the fastest).

Numpy implementation of deep learning

Convolutional neural network for classification of animal images on Animal-10 dataset

QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch

Repo for my blogs explaining swish activation function

Deep Learning

layers

Repository for UAI 2021 paper "Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fail at Reliable OOD Detection".

Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.