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605-porject

adaboost-implementation

Implementation of AdaBoost algorithm in Python

adamp

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)

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)

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-trajectory-prediction

bayesian_neural_network_papers

Papers for Bayesian-NN

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

boa

Bayesian or-of-and

cogview2

official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

compositional-visual-generation-with-composable-diffusion-models-pytorch

[ECCV 2022] Compositional Generation using Diffusion Models

contrastive-adaptation-network-for-unsupervised-domain-adaptation

pytorch implementation for Contrastive Adaptation Network

convex_polytope_trees

This is the official PyTorch implementation of Convex Polytope Trees

da-rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

data-driven-harmonic-filters

dec-keras

Deep Embedding Clustering in Keras

deeplearningexamples

Deep Learning Examples

deepspeech.pytorch

Speech Recognition using DeepSpeech2.

diffusion

Denoising Diffusion Probabilistic Models

dropout_icml2019

Code to reproduce the experiments reported in "Dropout as a Structured Shrinkage Prior" [Nalisnick et al., ICML 2019]

drum

DRUM end to end differentiable rule mining on knowledge graphs

endtoenddecisiontrees

Implementation of the paper End-to-end Learning of Deterministic Decision Trees

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

ganregression

gantree

Code release for "GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions", ICCV 2019

glucose_att_rnn

This repo will contain the official implementation of the paper "Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks" IJCNN2021

hgraph2graph

Hierarchical Generation of Molecular Graphs using Structural Motifs

howl

Wake word detection modeling toolkit for Firefox Voice, supporting open datasets like Speech Commands and Common Voice.

iclr20-lcn

Locally Constant Networks (ICLR 2020)