KAISER1997

KAISER1997

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KAISER1997's repositories

60_Days_RL_Challenge

Learn Deep Reinforcement Learning in Depth in 60 days

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awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

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aditya.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

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Awesome-Few-shot

Awesome Few-shot learning

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BDL

L2 Expt

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berkeley-deep-RL-pytorch-starter

Pytorch starter code for UC Berkeley's cs285 assignments

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CS285_Fa19_Deep_Reinforcement_Learning

My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments

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DeepRL-Tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

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DYAN

A Dynamical Atoms-Based Network For Video Prediction

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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.

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MiSLAS

Improving Calibration for Long-Tailed Recognition (CVPR2021)

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neuron-template

A template to get started with neuron

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on-the-adversarial-robustness-of-visual-transformer

Code for the paper "On the Adversarial Robustness of Visual Transformers"

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opencv

Open Source Computer Vision Library

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packnet-sfm

TRI-ML Monocular Depth Estimation Repository

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Python-Cooperative-Synapse-NeuroEvolution

A Python implementation of the "CoSyne" algorithim, as described in this paper: https://pdfs.semanticscholar.org/966e/41903b4aff42601a188bd7b26d71ef120d11.pdf

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PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

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Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

Solutions of Reinforcement Learning, An Introduction

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reinforcement-learning-an-introduction

Solutions to Exercises - Reinforcement Learning: An Introduction (Second Edition)

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