silpara
Work: AI, ML, DL, Statistics. Life: Reading, Listening, Running. Blog: silpara.medium.com
Meesho, Airtel X Labs, Swiggy, [24]7.ai
silpara's Stars
jamescalam/transformers
tensorflow/recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
bookingcom/upliftml
UpliftML: A Python Package for Scalable Uplift Modeling
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
jdcomsearch/poeem
A library for end-to-end learning of embedding index and retrieval model
udellgroup/controlburn
fearofchou/ALMM
caisa-lab/hypmix-emnlp
Code for HypMix EMNLP 2021 (main)
deezer/semi_perso_user_cold_start
Source code from the KDD 2021 article "A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps" by L. Briand, G. Salha-Galvan, W. Bendada, M. Morlon and V.A. Tran
LARS-research/AutoML-Tutorial
Tutorials about AutoML
pl8787/SetRank
Implementation of SetRank in SIGIR 2020
openfootball/england
Free open public domain football data for England (and Wales) incl. English Premier League (EPL) etc.
statsbomb/open-data
Free football data from StatsBomb
GRAAL-Research/deepparse
Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning
CunchaoZ/CyGNet
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
twitter-research/tgn
TGN: Temporal Graph Networks
Extreme-classification/deepxml
Implementation of DeepXML
Swiggy/Moo-GBT
Library for Multi-objective optimization in Gradient Boosted Trees
epfml/sent2vec
General purpose unsupervised sentence representations
cedricdeboom/RepresentationLearning
Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
minimaxir/aitextgen
A robust Python tool for text-based AI training and generation using GPT-2.
serengil/deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
TheAlgorithms/Python
All Algorithms implemented in Python
PAL-ML/PEARL_v1
LiJunnan1992/DivideMix
Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
shengliu66/ELR
Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
jkjung-avt/keras-cats-dogs-tutorial
A practical example of image classifier with Keras 2.x and TensorFlow backend, using the Kaggle Cats vs. Dogs dataset. By taking advantage of Keras' image data augmentation capabilities (and also random cropping), we were able to achieve 99% accuracy on the trained model with only 2,000 images in the training set.
niuchuangnn/SPICE
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities