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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
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Oct 26, 2024 - C++
Evaluation of the CNN design choices performance on ImageNet-2012.
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Jul 30, 2017 - Jupyter Notebook
Building Convolutional Neural Networks From Scratch using NumPy
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Jun 19, 2023 - Python
Represent trained machine learning models as Pyomo optimization formulations
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Dec 14, 2024 - Python
🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)
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Apr 23, 2018 - Jupyter Notebook
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.
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Apr 16, 2018 - Python
Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
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Apr 8, 2023 - Python
Implementation of key concepts of neuralnetwork via numpy
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Feb 6, 2018 - Python
Covid-19 detection in chest x-ray images using Convolution Neural Network.
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Aug 19, 2020 - Jupyter Notebook
Vision Transformers Needs Registers. And Gated MLPs. And +20M params. Tiny modality gap ensues!
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Mar 14, 2025 - Python
Some common CUDA kernel implementations (Not the fastest).
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Feb 17, 2025 - Cuda
Numpy implementation of deep learning
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Jun 17, 2024 - Python
Convolutional neural network for classification of animal images on Animal-10 dataset
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Oct 31, 2020 - Jupyter Notebook
QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch
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Sep 2, 2024 - Python
Repo for my blogs explaining swish activation function
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Dec 17, 2017 - HTML
Deep Learning
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Jan 27, 2023 - Python
layers
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Dec 30, 2022 - Jupyter Notebook
Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.
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May 13, 2019 - Jupyter Notebook
Repository for UAI 2021 paper "Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fail at Reliable OOD Detection".
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Feb 3, 2022 - Jupyter Notebook
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