New York City

Alfredo Canziani

Elite
@Atcold

Musician, math lover, cook, dancer, 🏳️‍🌈, and assistant professor of Computer Science at New York University

atcold.github.io/

NYU-DLSP20. NYU Deep Learning Spring 2020

6.8k

NYU-DLSP21. NYU Deep Learning Spring 2021

1.7k

torch-Video-Tutorials. Light your way in Deep Learning with Torch 🔦

602

pytorch-CortexNet. PyTorch implementation of the CortexNet predictive model

367

Energy-Book. Deep Learning, an Energy Approach

260

pytorch-PPUU. Code for Prediction and Planning Under Uncertainty (PPUU)

214

torch-TripletEmbedding. TripletLoss used in Google's FaceNet paper

162

pytorch-Video-Tutorials. The versatility of Python :snake: enlightened by Torch :flashlight: to seize Deep Learning

128

SP19-DL-collaborative-notes. Collaborative lecture notes for Spring '19 NYU DL class

119

torch-Developer-Guide. Some advanced tricks with Torch7 explained easily

95

NYU-DLFL22. NYU Deep Learning Fall 2022

67

NYU-AISP24. NYU Artificial Intelligence Spring 2024

61

torch-Machine-learning-with-Torch. Collection of simple machine learning algorithms for Torch

55

cs-video-courses. List of Computer Science courses with video lectures.

27

atcold.github.com. HTML

27

Unix-dot-files. Mac OS X and Linux optimal configuration files

22

practicalAI. A practical approach to learning machine learning.

22

DLSP20-collaborative-notes.

20

torch-net-toolkit. A simple module for <Torch7> and the <nn> package

18

tex-Learning-TikZ. TeX

13

stylish-Dark-Themes. Missing Dark Themes for the Stylish platform

11

torch-Torch7-tools. This would be a collection of useful routines and function currently missing in Torch7

10

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

8

torch-INRIA. Loads face, torso, body and background samples from INRIA dataset

6

SOTA-models. State Of The Art deep neural network models

6

jn-web-app. Fiddling with Jupyter notebook and web apps

5

ino-ESP32. Project repository for ESP32

4

python-AMC-IMDB-ratings. Getting IMDB ratings for AMC movies

4

pdb-tutorial. A simple tutorial about effectively using pdb

3

web-Learning-WEB-technology. Some working examples for JS, CSS, and HTML

3

Figures-Yann. Figures for Yann's book

3

latex2unicode. Convert LaTeX markup to Unicode (in Scala and Java)

3

Conv-Nets-Series. A series of blog posts on convolutional neural networks and their generalizations.

2

smartEYE. Implementation of the VADNN article

2

gym. A toolkit for developing and comparing reinforcement learning algorithms.

2

asm_book. 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.

2

tex-History-timelines. A few timelines in TikZ

2

2025. ICLR Blog Track 2025

1

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

1

lil-log. Lilian's Blog

1

mps-youtube. Terminal based YouTube player and downloader

1

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

1

physicsofEBM.github.io. The Physics of Energy Based Models

1

notebook. Jupyter Interactive Notebook

1

lilianweng.github.io. My personal page

1

andrewcharlesjones.github.io. A minimalist Jekyll theme for running a personal blog

1

baselines. OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

1
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