Mario

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

Deep Learning Drizzle is a curated collection of free university lecture series and course materials covering AI, machine learning, deep learning, and related topics, no installation required.

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

NumPy fundamentals for tensor computation; Matplotlib for data visualization

3D visualization of common activation functions

Minicourse in Deep Learning with PyTorch

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

Simple PyTorch Tutorials Zero to ALL!

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

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

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Python Implementation of Reinforcement Learning: An Introduction

Homework Programming Assignments for Pattern and Speech Recognition course

Good intuitions on Linear Algebra

Tensorial Thinking in PyTorch

A collection of resources on modern C++

Data Structures And Algorithms Made Easy

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Programming assignments

The "Python Machine Learning" book code repository and info resource

EPFL Course - Optimization for Machine Learning - CS-439

DeepVis Toolbox

Lectures on Deep Learning

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Using Semantic Compositional Networks for Video Captioning

Code for 3D object detection for autonomous driving

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Learning to Evaluate Image Captioning

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

Recent Advances in Vision and Language PreTrained Models (VL-PTMs)

Course notes for CS228: Probabilistic Graphical Models.

Best resources about PyTorch

Flight rules for git

Learning in infinite dimension with neural operators.

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

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

a pytorch implementation of https://arxiv.org/abs/1704.03477

TensorFlow Neural Machine Translation Tutorial

A general-purpose encoder-decoder framework for Tensorflow

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Model & analysis of tweet hops network in Twitter

Adds SPICE metric to coco-caption evaluation server codes

Dynamic seq2seq in TensorFlow, step by step

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

Re-implementation of VGG Network in tensorflow

This repository provides cytogenetics related datasets to investigate the semantic segmentation

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

PyTorch tutorials demonstrating modern techniques with readable code

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

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

Seminars DeepBayes Summer School 2018

Repository for practical assignments for UvA Deep Learning Course 2016

Python datetimes made easy

A repository of Python related talks

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

Run trained Keras models in the browser, with GPU support

A python wrapper for the Visual Genome API

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MAttNet: Modular Attention Network for Referring Expression Comprehension

Starter code for my Neural Networks 2015 class

Tutorials for DLVC NPTEL MOOC

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

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

The personal website framework for Hugo. Demo at

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

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A Compact Primer on Digital Signal Processing

Berkeley Kaggle Decal website

Topics Course on Deep Learning UC Berkeley

JavaScript 3D library.

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

Source code for pbrt, the renderer described in the third edition of "Physically Based Rendering: From Theory To Implementation", by Matt Pharr, Wenzel Jakob, and Greg Humphreys.

my .vim

A web application to build your blog on GitHub

Semantic Propositional Image Caption Evaluation

Two columns curriculum vitae

Homework assignments for HLCV course

Homework assignments for DSP course

Useful references in Computer Vision

Homework assignments for Realistic Image Synthesis

A list of popular github projects related to deep learning

Public Machine Learning and Data Competition Repo

List of awesome university courses for learning Computer Science!

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a simple django framework for creating and conducting surveys

A small javascript library to enable native input support in textfields.

Reading list for research topics in multimodal machine learning

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