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33 search results found

Tensorflow Internals ⭐ 2,664

It is open source ebook about TensorFlow kernel and implementation mechanism.

Gpflow ⭐ 1,783

Gaussian processes in TensorFlow

Returnn ⭐ 347

The RWTH extensible training framework for universal recurrent neural networks

Keras Gp ⭐ 219

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Jetson_easy ⭐ 207

🔩 Automatically script to setup and configure your NVIDIA Jetson [Nano, Xavier, TX2i, TX2, TX1, TK1] . This script run different modules to update, fix and patch the kernel, install ROS and other...

Kaggle_memo ⭐ 195

Cs224n 2019 ⭐ 180

My completed implementation solutions for CS224N 2021 & 2019

Cca_zoo ⭐ 157

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling

Cvessentials ⭐ 156

Tutorial Series (60 hour course): Essentials of computer vision

Deep Kernel Transfer ⭐ 142

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

Deep neural network kernel for Gaussian process

Defect Detection Classifier ⭐ 70

Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset

Wheat Detection challenge on Kaggle

Mnist Challenge ⭐ 64

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

ML4Chem: Machine Learning for Chemistry and Materials

Crowd_counting_from_scratch ⭐ 63

This is an overview and tutorial about crowd counting. In this repository, you can learn how to estimate number of pedestrians in crowd scenes through computer vision and deep learning.

Assignment2 2017 ⭐ 59

(Spring 2017) Assignment 2: GPU Executor

Improving MMD-GAN training with repulsive loss function

Tsception ⭐ 50

PyTorch implementation of TSception

PyProf2: PyTorch Profiling tool

Deep Kernel Gp ⭐ 46

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Multislice PHATE for tensor embeddings

Hexagdly ⭐ 41

Process hexagonally sampled data with PyTorch

Remokaggle ⭐ 40

Quickly setup SSH connection to Kaggle Kernel for Deep Learning. In order to use that sexy Tesla P100 for free (and without many restriction of Jupyter Notebook) :P

Optimized half precision gemm assembly kernels (deprecated due to ROCm)

Awesome Kaggle Kernels ⭐ 38

Compilation of good Kaggle Kernels.

Deep_gp_random_features ⭐ 31

Convolution Flavors ⭐ 31

Implementation of convolution layer in different flavors

Deep Learning Math Kernel Research ⭐ 28

Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

Drugs Recommendation Using Reviews ⭐ 27

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Rl Quadcopter ⭐ 25

Udacity Deep Learning Nano Degree Project : Deep Reinforcement Learning Based Quadcopter controller

Dk For Tst ⭐ 22

This is the code for the paper "Learning Deep Kernels for Non-Parametric Two-Sample Tests" (ICML2020).

Klcpd_code ⭐ 21

Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)

Kervolution ⭐ 19

Kervolution implementation using TF2.0

Pytorch Convcnp ⭐ 18

A PyTorch Implementation of Convolutional Conditional Neural Process.

Awsdlgpu ⭐ 17

A description for setting up an Amazon EC2 GPU instance for Deep Learning.

Tsai Deepvision Eva4.0 ⭐ 16

This contains the solutions to the assignments given in The School of AI - Extensive Vision AI 4.0 EVA4

Aids Dpi ⭐ 16

AngelIDS Deep Packet Inspection Kernel Module By Angelic47 & Hwsasi

Traffic_signs_recognition_cnn ⭐ 16

Traffic Sign Recognition by Convolutional Neural Network (TensorFlow)

Steganalysiscnn ⭐ 16

An Improved CNN Steganalysis Architecture Based on “Catalyst Kernels” and Transfer Learning

Ml Reading Group ⭐ 15

Information and organization of the STIMA Machine Learning Reading Group

Kernel_reg ⭐ 14

Pytorch implementation of regularization methods for deep networks obtained via kernel methods.

Kernelneuraloptimaltransport ⭐ 14

PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)

Carnd Semantic Segmentation P2 ⭐ 13

Udacity Self-Driving Car Nanodegree - Semantic Segmentation Project

Bayesian Ntk ⭐ 13

Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'

Nbd Glra ⭐ 13

Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation

Modular learning for deep classifiers

Google Landmark Recognition Retrieval 2019 ⭐ 10

Silver and Bronze medal solutions to the Kaggle challenges on Google Landmark Dataset

Winograd_convolution ⭐ 9

a winograd based kernel for convolutions in deep learning framework

Openfacecpp ⭐ 9

Face recognition with deep neural networks c++

Learningmachinelearning ⭐ 9

Resources I am using to learn machine learning

Deep Multiple Kernel Learning by Span Bound

Machinelearningalgos ⭐ 7

Personal reimplementation of some ML algorithms for learning purposes

Grouped3dconvpytorch ⭐ 6

Implementation of grouped 3D convolutions (with backward) in Tensor Comprehensions.

Machine Learning ⭐ 5

My Implementation of Machine Learning models

Engineered Riboregulator Ml ⭐ 5

Sequence-to-function deep learning frameworks for engineered riboregulators

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1-33 of 33 search results

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