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.

Numpy implementation of deep learning

Repo for my blogs explaining swish activation function

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

Some common CUDA kernel implementations (Not the fastest).

Deep Learning

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

layers

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

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

Compare vanishing gradient problem case by case.