Mario's repositories
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
KenLM-training
Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2
Introduction-to-NumPy-Matplotlib-TensorFlow
NumPy fundamentals for tensor computation; Matplotlib for data visualization
pytorch-Deep-Learning-Minicourse
Minicourse in Deep Learning with PyTorch
activation-functions-3D-viz
3D visualization of common activation functions
PyTorch-Padawan
Exercises, Descriptions, and Visualizations to build intuitions and confidence in working with PyTorch for accelerated Scientific Computing
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
Profound-Linear-Algebra
Good intuitions on Linear Algebra
awesome-vision-language-pretraining-papers
Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
git-flight-rules
Flight rules for git
infoxxxx-deep-learning
Lectures on Deep Learning
OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
profound-pytorch
Best resources about PyTorch
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
ABigSurvey
A collection of 700+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
circles-sines-signals
A Compact Primer on Digital Signal Processing
cvpr18-caption-eval
Learning to Evaluate Image Captioning
DataStructuresAndAlgorithmsMadeEasy
Data Structures And Algorithms Made Easy
deepbayes-2018
Seminars DeepBayes Summer School 2018
semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".