Alfredo Canziani

Deep Learning, an Energy Approach

NYU Deep Learning Spring 2020

NYU Deep Learning Spring 2021

Light your way in Deep Learning with Torch 🔦

Code for Prediction and Planning Under Uncertainty (PPUU)

NYU's Introduction to Deep Learning Research

PyTorch implementation of the CortexNet predictive model

TripletLoss used in Google's FaceNet paper

The versatility of Python :snake: enlightened by Torch :flashlight: to seize Deep Learning

Collaborative lecture notes for Spring '19 NYU DL class

Some advanced tricks with Torch7 explained easily

NYU Deep Learning Fall 2022

NYU Artificial Intelligence Spring 2024

Collection of simple machine learning algorithms for Torch

No description.

List of Computer Science courses with video lectures.

Mac OS X and Linux optimal configuration files

A practical approach to learning machine learning.

No description.

A simple module for <Torch7> and the <nn> package

No description.

Missing Dark Themes for the Stylish platform

This would be a collection of useful routines and function currently missing in Torch7

Brings some colour to the boring `nn` package of Torch.

Loads face, torso, body and background samples from INRIA dataset

State Of The Art deep neural network models

Fiddling with Jupyter notebook and web apps

Project repository for ESP32

Getting IMDB ratings for AMC movies

Convert LaTeX markup to Unicode (in Scala and Java)

Some working examples for JS, CSS, and HTML

Figures for Yann's book

A simple tutorial about effectively using pdb

A book teaching assembly language programming on the ARM 64 bit ISA. Along the way, good programming practices and insights into code development are offered which apply directly to higher level languages.

A few timelines in TikZ

Implementation of the VADNN article

A toolkit for developing and comparing reinforcement learning algorithms.

A series of blog posts on convolutional neural networks and their generalizations.

Lesson 16 and 17 of NYU-DLFL25U

Assembly programs for macOS on Apple Silicon

ICLR Blog Track 2025

Jupyter Interactive Notebook

A minimalist Jekyll theme for running a personal blog

Starting to play with LSTM and graphs

The Physics of Energy Based Models

Lilian's Blog

My personal page

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

A numeric optimization package for Torch.

Terminal based YouTube player and downloader

The official Vim repository

A loss function based on the distances between anchor, positive and negative embeddings used in FaceNet

No description.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Converts LaTeX tags to unicode: \mathcal{H} → ℋ. Available on the web or as Automator script for the Mac.

Code documentation written as code! How novel and totally my idea!

Torch on steroids

Portfolio of graphic, UX and type designer Matt Grey

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Playing with an LSTM neural network.

Torch installation in a self-contained folder

Torch's web page.

Vim - the text editor - for Mac OS X

Oriented Object Programming for Lua

A package to manipulate manifolds.

Rocks for torch

Vim plugin, provides insert mode auto-completion for quotes, parens, brackets, etc.

A powerful (and blazing fast) argument checker and function overloading system for Lua or LuaJIT

A package to deal with graphs built on images.