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kanm05's Projects
adversarialnetspapers
The classical paper list with code about generative adversarial nets
anml
A Neuromodulated Meta-Learning algorithm
annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
arxausality
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
babyai
BabyAI platform. A testbed for training agents to understand and execute language commands.
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
clevr-iep
Inferring and Executing Programs for Visual Reasoning
david-silver-reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
glow
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
graphsage
Representation learning on large graphs using stochastic graph convolutions.
graphsage-simple
Simple reference implementation of GraphSAGE.
gym-minigrid
Minimalistic gridworld package for OpenAI Gym
homework
Assignments for CS294-112.
horizon
A platform for Applied Reinforcement Learning (Applied RL)
howtotrainyourmamlpytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
iclr_2019
ICLR Reproducibility Challenge 2019
improved-gan
Code for the paper "Improved Techniques for Training GANs"
maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
maml-pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
maml_rl
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
michael-s-data-science-curriculum
This is the companion curriculum to my guide to becoming a data scientist.
mixer
Mixed Incremental Cross-Entropy REINFORCE ICLR 2016
mrcl
Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
pytorch-pretrained-bert
The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
summerschool2015
Slides and exercises for the Deep Learning Summer School 2015 programming tutorials
summerschool2016
Montréal Deep Learning Summer School 2016 material
summerschool2017
Material for the Montréal Deep Learning Summer School 2017
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