This is your work, valued

Stuttgart, DE

Mario

Elite
@kmario23

Pixel processor 📸 Neural Networks 🧠 Python fanatic 🐍 JAX & NumPy ninja assuaging accelerators ⚡ Sedulous solo traveller 🌴

tinyurl.com/kmario23

deep-learning-drizzle. Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

13k

KenLM-training. Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2

116

Introduction-to-NumPy-Matplotlib-TensorFlow. NumPy fundamentals for tensor computation; Matplotlib for data visualization

23

activation-functions-3D-viz. 3D visualization of common activation functions

7

pytorch-Deep-Learning-Minicourse. Minicourse in Deep Learning with PyTorch

5

PyTorch-Padawan. Exercises, Descriptions, and Visualizations to build intuitions and confidence in working with PyTorch for accelerated Scientific Computing

5

Profound-Linear-Algebra. Good intuitions on Linear Algebra

3

best-of-ml-python. 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

3

PSR-W15-16. Homework Programming Assignments for Pattern and Speech Recognition course

3

PyTorchZeroToAll. Simple PyTorch Tutorials Zero to ALL!

3

lectures-labs. Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

3

reinforcement-learning-an-introduction. Python Implementation of Reinforcement Learning: An Introduction

3

deep-learning-v2-pytorch. Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

3

solving_pde_mooc. Python

2

OptML_course. EPFL Course - Optimization for Machine Learning - CS-439

2

deep-visualization-toolbox. DeepVis Toolbox

2

python-machine-learning-book. The "Python Machine Learning" book code repository and info resource

2

NeuralNetworks. Programming assignments

2

infoxxxx-deep-learning. Lectures on Deep Learning

2

pdearena. Python

2

intermediatePython. Python

2

cvpr18-caption-eval. Learning to Evaluate Image Captioning

2

ABigSurvey. A collection of 700+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

2

awesome-vision-language-pretraining-papers. Recent Advances in Vision and Language PreTrained Models (VL-PTMs)

2

SCN_for_video_captioning. Using Semantic Compositional Networks for Video Captioning

2

cs228-notes. Course notes for CS228: Probabilistic Graphical Models.

2

git-flight-rules. Flight rules for git

2

profound-pytorch. Best resources about PyTorch

2

avod. Code for 3D object detection for autonomous driving

2

semantic-segmentation-pytorch. Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

2

tensorflow-seq2seq-tutorials. Dynamic seq2seq in TensorFlow, step by step

1

coco. MS COCO API - http://mscoco.org/

1

nn_assignments. Starter code for my Neural Networks 2015 class

1

DeepFISH. This repository provides cytogenetics related datasets to investigate the semantic segmentation

1

seq2seq. A general-purpose encoder-decoder framework for Tensorflow

1

draw_convnet. Python

1

MAttNet. MAttNet: Modular Attention Network for Referring Expression Comprehension

1

resnet-in-tensorflow. Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

1

dlvcnptel. Tutorials for DLVC NPTEL MOOC

1

lstm. Minimal, clean example of lstm neural network training in python, for learning purposes.

1

Pytorch-Sketch-RNN. a pytorch implementation of https://arxiv.org/abs/1704.03477

1

practical-pytorch. PyTorch tutorials demonstrating modern techniques with readable code

1

show-attend-and-tell. Jupyter Notebook

1

deepbayes-2018. Seminars DeepBayes Summer School 2018

1

DeepLearningForNLPInPytorch. An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

1

nmt. TensorFlow Neural Machine Translation Tutorial

1

dldiy-practicals. Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS

1

AdaptiveAttention. Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

1

Swin-Transformer. This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

1

tensorflow-vgg. Re-implementation of VGG Network in tensorflow

1

visual_genome_python_driver. A python wrapper for the Visual Genome API

1

neuraloperator. Learning in infinite dimension with neural operators.

1

awesome-multimodal-ml. Reading list for research topics in multimodal machine learning

1

coco-caption. Adds SPICE metric to coco-caption evaluation server codes

1

pendulum. Python datetimes made easy

1

visual-semantic-embedding. Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"

1

ml-surveys. 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

1