Pinned Repositories
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"
kanm05's Repositories
kanm05/AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
kanm05/ANML
A Neuromodulated Meta-Learning algorithm
kanm05/annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
kanm05/arXausality
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
kanm05/arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
kanm05/babyai
BabyAI platform. A testbed for training agents to understand and execute language commands.
kanm05/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
kanm05/clevr-iep
Inferring and Executing Programs for Visual Reasoning
kanm05/David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
kanm05/glow
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
kanm05/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
kanm05/graphsage-simple
Simple reference implementation of GraphSAGE.
kanm05/gym-minigrid
Minimalistic gridworld package for OpenAI Gym
kanm05/homework
Assignments for CS294-112.
kanm05/Horizon
A platform for Applied Reinforcement Learning (Applied RL)
kanm05/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.
kanm05/iclr_2019
ICLR Reproducibility Challenge 2019
kanm05/improved-gan
Code for the paper "Improved Techniques for Training GANs"
kanm05/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
kanm05/MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
kanm05/maml_rl
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
kanm05/Michael-s-Data-Science-Curriculum
This is the companion curriculum to my guide to becoming a data scientist.
kanm05/mrcl
Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
kanm05/pytorch-pretrained-BERT
The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
kanm05/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
kanm05/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
kanm05/summerschool2017
Material for the Montréal Deep Learning Summer School 2017
kanm05/tf-nlp-blocks
Some frequently used NLP blocks I implemented
kanm05/unrolled_gan
Unrolled Generative Adversarial Networks
kanm05/welcome_tutorials
Various tutorials given for welcoming new students at MILA.