Pinned Repositories
AI
Microsoft AI
AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
ARSM_LETOR
BNBR
BNPseq
Bayesian Nonparametric Differential Expression Analysis of Sequencing Count Data
dNBFA
Covariate-Dependent Negative Binomial Factor Analysis
iVAE
VAEs and nonlinear ICA: a unifying framework
sentence-transformers-1
Sentence Embeddings with BERT & XLNet
siamakz's Repositories
siamakz/sentence-transformers-1
Sentence Embeddings with BERT & XLNet
siamakz/AI
Microsoft AI
siamakz/AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
siamakz/allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
siamakz/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
siamakz/bert
TensorFlow code and pre-trained models for BERT
siamakz/bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
siamakz/BMC
Notes on Scientific Computing for Biomechanics and Motor Control
siamakz/deeplearning-models
A collection of various deep learning architectures, models, and tips
siamakz/deepul
siamakz/emnlp2019-duplicate_question_detection
siamakz/encrypted-evaluation
Client/Server framework for encrypted machine learning using homomorphic encryption
siamakz/forecasting
Time Series Forecasting Best Practices & Examples
siamakz/GP4A
Code for NeurIPS 2019 paper: "Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
siamakz/homomorphic-implementors-toolkit
siamakz/lambert
Publicly released code for the LAMBERT model
siamakz/librec
LibRec: A Leading Java Library for Recommender Systems, see
siamakz/machine-learning-systems-design
A booklet on machine learning systems design with exercises
siamakz/optuna
A hyperparameter optimization framework
siamakz/Practical-Deep-Learning-for-Coders-2.0
Notebooks for the "A walk with fastai2" Study Group and Lecture Series
siamakz/privacy-preserving-xgboost-inference
Privacy-preserving XGBoost Inference
siamakz/PRML
PRML algorithms implemented in Python
siamakz/probability
Probabilistic reasoning and statistical analysis in TensorFlow
siamakz/pytorch-normalizing-flows
Normalizing flows in PyTorch. Current intended use is education not production.
siamakz/recommenders
Best Practices on Recommendation Systems
siamakz/RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"
siamakz/revisiting-self-supervised
siamakz/soteria_private_nn_inference
siamakz/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
siamakz/TCPDBench
The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data