ramakumar1729
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A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
A resource to help you pass system design interview and become good at work 👇
Modeling, training, eval, and inference code for OLMo
A Gaggia Classic control project using microcontrollers.
Official inference library for Mistral models
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Attributing predictions made by the Inception network using the Integrated Gradients method
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Differentiable bitonic sorting
A PyTorch implementation of Ranking Distillation
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
A repository of concepts related to neural networks for NLP
Simple transformer implementation from scratch in pytorch.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
A Configurable Recommender Systems Simulation Platform
The official implementation of paper "DIANet:Dense-and-Implicit-Attention-Network".
Graph Neural Network Library for PyTorch
Website for the TREC Deep Learning Track 2019
Datasets, tools, and benchmarks for representation learning of code.
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" and of several follow-up studies.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.