MartinSchiemer's Stars
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
TheAlgorithms/Python
All Algorithms implemented in Python
jlevy/the-art-of-command-line
Master the command line, in one page
chubin/cheat.sh
the only cheat sheet you need
AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
pluja/awesome-privacy
Awesome Privacy - A curated list of services and alternatives that respect your privacy because PRIVACY MATTERS.
karpathy/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
CyberPunkMetalHead/Binance-volatility-trading-bot
This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.
b7leung/MLE-Flashcards
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
ilmoi/MML-Book
Code / solutions for Mathematics for Machine Learning (MML Book)
weiaicunzai/Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
mmasana/FACIL
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
GT-RIPL/Continual-Learning-Benchmark
Evaluate three types of task shifting with popular continual learning algorithms.
xLaszlo/datascience-fails
Collection of articles listing reasons why data science projects fail.
ahmedbesbes/cartoonify
Deploy and scale serverless machine learning app - in 4 steps.
sun-hailong/LAMDA-PILOT
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
prprbr/awesome-lifelong-continual-learning
A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning
zhoudw-zdw/CIL_Survey
Class-Incremental Learning: A Survey (TPAMI 2024)
ryanchankh/mcr2
Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
ncoop57/code-clippy-vscode
VSCode extension for code suggestion
nrokh/ScientificFigures
A comprehensive guide on how to create beautiful scientific figures for technical publications, presentations, and posters
soochan-lee/CN-DPM
Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
montrealrobotics/La-MAML
Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
abidlabs/contrastive_vae
Contrastive Variational Autoencoders
ryanchankh/redunet_paper
Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)
MehdiAbbanaBennani/continual-learning-ogdplus
Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)