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raegher's Projects

arm-gradient icon arm-gradient

Low-variance, unbiased, theoretically grounded and computationally efficient gradient for binary latent variable models, based on variable augmentation and antithetic sampling. ICLR 2019

arsm icon arsm

Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder and reinforcement learning. ICML 2019

best_ai_papers_2021 icon best_ai_papers_2021

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]

blackbox-backprop icon blackbox-backprop

Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

book icon book

The Rust Programming Language

byol-pytorch icon byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

causal-learn icon causal-learn

Python translation (and extension) of the Tetrad java code.

chinese-bert-wwm icon chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm预训练模型）

co-teaching icon co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2 icon detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dl-with-bayes icon dl-with-bayes

Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"

dufs icon dufs

Differentiable Unsupervised Feature Selection

e3outlier icon e3outlier

Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network.

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