nasimrahaman Goto Github PK
Name: Nasim Rahaman
Type: User
Bio: Deep Learning Research @ Mila Québec & MPI-IS Tübingen
Twitter: nasim_rahaman
Location: Tübingen, Germany
Blog: nasimrahaman.super.site
Name: Nasim Rahaman
Type: User
Bio: Deep Learning Research @ Mila Québec & MPI-IS Tübingen
Twitter: nasim_rahaman
Location: Tübingen, Germany
Blog: nasimrahaman.super.site
Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
Antipasti is a lightweight toolkit for building and training deep networks with Theano.
Antipasti-TF is a lightweight wrapper around Tensorflow for building convolutional neural networks with complex architechtures.
Tools to shorten the rope jupyter gives you to hang yourself.
Framework for representing a city (real or virtual) and moving around it.
Simulator for COVID-19 spread
Differentiable architecture search for convolutional and recurrent networks
Blackbox Optimization with Evolutionary Strategies.
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.
Highly modularized implementation of popular deep RL algorithms in PyTorch
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
FiLM: Visual Reasoning with a General Conditioning Layer
Data loading DAG for Greentea.
Sokoban environment for OpenAI Gym
Converting WorldView2 Digital Numbers to Spectral Radiance or Reflectance
Sentence embeddings (InferSent) and training code for NLI.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Implementation of a Neural Interpreter
Starter Kit for the NeurIPS 2019 Disentanglement Challenge
Learning to play Pacman with Deep Q Learning.
Template Python-project
An agent-based simulation of corona and other viruses in python
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.
Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Tensorflow Epiphanies for Theano Users
Debork all the things!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.