arvganesh

arvganesh's Stars

• acganesh/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python1

• acganesh/paredit

  Official mirror of Paredit versions released on vim.org

  Language:VimL1

• acganesh/kaggle_diabetic

  Team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge

  Language:Python1

• acganesh/Theano

  Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

  Language:Python1

• acganesh/wavenet-presentation

  Presentation on WaveNet for Kundaje Lab journal club

  Language:TeX3

• acganesh/nolearn

  Abstractions around neural net libraries, most notably Lasagne.

  Language:Python1

• acganesh/dotfiles

  Language:Lua3

• acganesh/stanford-suns-nips17

  Code used by the team Stanford&Suns for the NIPS 2017 Competition on Adversarial Examples (https://www.kaggle.com/c/nips-2017-defense-against-adversarial-attack)

  Language:Python2

• acganesh/torcspilot

  Deep reinforcement learning for simulated autonomous driving

  Language:Python62

• acganesh/cs43-pset1

  1

• acganesh/ip_basic

  Image Processing for Basic Depth Completion

  Language:Python1

• acganesh/pytorch-made

  MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

  Language:Python1

• acganesh/i3-mws

  Master workspaces for i3, because sometimes 10 workspaces is not enough.

  Language:C1

• acganesh/haskell-scheme

  Scheme interpreter, written in Haskell

  Language:Haskell2

• acganesh/arrayfire-rust

  Rust wrapper for ArrayFire

  Language:Rust1

• acganesh/hacker-sheet

  1

• acganesh/information-theory

  Notes on information theory and statistical learning

  Language:TeX2

• acganesh/yi

  The Haskell-Scriptable Editor

  Language:Haskell1

• acganesh/notes

  Course notes

  Language:CSS1

• acganesh/ChromaNet

  Deep learning for genomic chromatin profile prediction

  Language:Python22

• stanfordhaskell/cs43

  Course materials for Stanford's CS43: Functional Programming Paradigms

  Language:Haskell305

• acganesh/acgan.sh

  Personal site: technical writing and portfolio

  Language:Haskell3

• acganesh/euler

  Solutions to Project Euler problems

  Language:Python3

• arvganesh/Multi-Camera-Object-Tracking

  Track an object across a CCTV Network with non-overlapping camera views.

  Language:Python7317

• abhishekrana/DeepFashion

  Apparel detection using deep learning

  Language:Python25378

• kuz/DeepMind-Atari-Deep-Q-Learner

  The original code from the DeepMind article + my tweaks

  Language:Lua1.8k533

• ujjwalkarn/Machine-Learning-Tutorials

  machine learning and deep learning tutorials, articles and other resources

  15.5k3.8k

• rasbt/python-machine-learning-book

  The "Python Machine Learning (1st edition)" book code repository and info resource

  Language:Jupyter Notebook12.2k4.4k

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python65.7k14.6k

• StanfordACM/stanfordacm.github.io

  Stanford ACM's website.

  Language:HTML3421