nasimrahaman Goto Github PK

a-meta-transfer-objective-for-learning-to-disentangle-causal-mechanisms-1

Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"

antipasti

Antipasti is a lightweight toolkit for building and training deep networks with Theano.

antipasti-tf

Antipasti-TF is a lightweight wrapper around Tensorflow for building convolutional neural networks with complex architechtures.

callisto

Tools to shorten the rope jupyter gives you to hang yourself.

citygraph

Framework for representing a city (real or virtual) and moving around it.

corona-analysis

covid_p2p_simulation

Simulator for COVID-19 spread

darts

Differentiable architecture search for convolutional and recurrent networks

darwin

Blackbox Optimization with Evolutionary Strategies.

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deeprl

Highly modularized implementation of popular deep RL algorithms in PyTorch

examples

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

film

FiLM: Visual Reasoning with a General Conditioning Layer

gunpowder

Data loading DAG for Greentea.

gym-sokoban

Sokoban environment for OpenAI Gym

i.worldview.toar

Converting WorldView2 Digital Numbers to Spectral Radiance or Reflectance

infersent

Sentence embeddings (InferSent) and training code for NLI.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

nasimrahaman.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

neural-interpreter

Implementation of a Neural Interpreter

neurips2019_disentanglement_challenge_starter_kit

Starter Kit for the NeurIPS 2019 Disentanglement Challenge

paqman

Learning to play Pacman with Deep Q Learning.

pytemplate

Template Python-project

python_corona_simulation

An agent-based simulation of corona and other viruses in python

scripts

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

spectralbias

Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

tensorflow-playground

Tensorflow Epiphanies for Theano Users

torch-deborker

Debork all the things!