rajathpatel23
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Repository for benchmarking graph neural networks
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API
A simple, performant and scalable Jax LLM!
High-resolution models for human tasks.
Airlift Challenge starter kit
Hurricane performs chained Map-Reduce jobs in small batches at a high frequency (about once per second).
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
This repository contains code and extensive prompt examples to reproduce and extend the experiments in our papers "Using ChatGPT for Entity Matching" and "Entity Matching using Large Language Models".
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
A novel human-interaction method for real-time speech extraction on headphones.
Strategies for Pre-training Graph Neural Networks
Official repository for the paper "LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code"
Implementation and experiments of graph embedding algorithms.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
A Deep Graph-based Toolbox for Fraud Detection