francescoferretto's Stars
CodeJjang/cs231n-2019
Stanford's CS231n: Convolutional Neural Networks for Visual Recognition 2019 spring solutions
aikorea/awesome-rl
Reinforcement learning resources curated
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
MarcoSciorilli/Probabilistic_Machine_Learning
Repository of my notes and exercises on the course of Probabilistic Machine Learning by Prof. Luca Bortolussi at the University of Trieste in the year 2020/2021
ansuini/DSSC_DL_2021
Repository for the DL Course AA 2020-2021 @ DSSC UniTS
jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
jameslyons/python_speech_features
This library provides common speech features for ASR including MFCCs and filterbank energies.
TraceMyers/mitx-stats-notes
Notes for 18.6501x, Fundamentals of Statistics on edX
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
cs231n/cs231n.github.io
Public facing notes page
cs231n/gcloud
Google Cloud tutorial and setup
MarcelBeining/EazeBot
Free python/telegram bot for easy execution and surveillance of crypto trading plans on multiple exchanges.
emad-elsaid/dirtree
Visualizing files paths as an interactive tree, works nicely with gnu linux tools such as find, ls, or git ls-files
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
cdebacco/MultiTensor
Multilayer network tensor factorization, for community detection, link prediction and measure layer interdependence.
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
oscar-defelice/ML-lectures
Here is the material for a course of two-weeks I will be giving in a Master of Data Science and AI
oscar-defelice/DeepLearning-lectures
🧑🏼🏫 Here is the material for a course of two-weeks I gave in a Master of Data Science and AI
rasbt/stat451-machine-learning-fs20
STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
rasbt/stat453-deep-learning-ss21
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
neonwatty/machine-learning-refined
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
ritchieng/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
gtolomei/python-for-datascience
ottermegazord/mit6867
6.867 Machine Learning
cs109/content
Official content for Harvard CS109
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020