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📋 A list of open LLMs available for commercial use.

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

🚀 Level up your GitHub profile readme with customizable cards including LOC statistics!

[Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series

A powerful little TUI framework 🏗

Modern C++ Programming Cookbook, Second Edition, published by Packt

A new markup-based typesetting system that is powerful and easy to learn.

GSOC 2023 Red Hen Labs - Semantic Search in Video Datasets

The Mojo Programming Language

💻 Source code for Quansight Consulting and Labs websites

Tools and pipelines tailored to using PacBio HiFi Reads for metagenomics

Repo that hosts the companion book of Julia for Deep Learning

Julia Package for MRI Reconstruction

Reimplementation of NetGO

Please do not feed the models

List of Spring Boot Tutorials

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

A python script for generating an Entity Relationship Diagram for the Stack Exchange Data Explorer Schema

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/

CVPR 2024 论文和开源项目合集

😎 Awesome list of tools and projects with the awesome LangChain framework

Fast and accurate protein function prediction from sequence through pretrained language model and homology-based label diffusion

Julia Programming for Machine Learning course at TU Berlin

Multilingual Sentence & Image Embeddings with BERT

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

Finetuning large language models for GDScript generation.