cloudronin's Stars
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
databrickslabs/dolly
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
microsoft/DeepSpeed-MII
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
epfLLM/meditron
Meditron is a suite of open-source medical Large Language Models (LLMs).
pinecone-io/canopy
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone
allenai/s2orc
S2ORC: The Semantic Scholar Open Research Corpus: https://www.aclweb.org/anthology/2020.acl-main.447/
evanmiller/LLM-Reading-List
LLM papers I'm reading, mostly on inference and model compression
EdinburghNLP/awesome-hallucination-detection
List of papers on hallucination detection in LLMs.
ontop/ontop
Ontop is a platform to query relational databases as Virtual RDF Knowledge Graphs using SPARQL
google-deepmind/long-form-factuality
Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".
HowieHwong/TrustLLM
[ICML 2024] TrustLLM: Trustworthiness in Large Language Models
ccsb-scripps/AutoDock-GPU
AutoDock for GPUs and other accelerators
freshllms/freshqa
Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)
RManLuo/reasoning-on-graphs
Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"
Roobyx/awesome-game-design
A comprehensive list of Game Design related learning materials, examples and tools.
amazon-science/RefChecker
RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.
NetEase-FuXi/EETQ
Easy and Efficient Quantization for Transformers
uf-hobi-informatics-lab/GatorTron
all scripts used in gatortron project
LIYUESEN/druggpt
DrugGPT: A GPT-based Strategy for Designing Potential Ligands Targeting Specific Proteins
DeltaGroupNJUPT/Vina-GPU
A heterogeneous OpenCL implementation of AutoDock Vina
CognizantOneDevOps/Insights
A solution which enables to report the progress made on DevOps Vectors
NUSCRIPT/OMOP_to_Graph
Transform the OMOP model to graph model
fhircat/FHIROntopOMOP
FHIR Ontop OMOP Implementation
rcelebi/GraphEmbedding4DDI
mantiumai/aws-sagemaker-gptj-deepspeed-blog
Demonstration of accelerating GPT-J with DeepSpeed Inference and deploying on AWS SageMaker
Metaphorme/AutoDock-Vina-Docker
Package AutoDock Vina, ADFR suite, Meeko, MGLTools into Docker Image.
tgrassl/gpt-elastic-search-query
Generate elastic search queries using GPT-3
durrantlab/deepfrag-app
DeepFrag is a deep convolutional neural network that guides ligand optimization by extending a ligand with a molecular fragment, such that the resulting extension is also highly complementary to the receptor. The DeepFrag web application is also a useful tool for teaching students about medicinal chemistry and lead optimization.
YaserJaradeh/JarvisQA
A prototype question answering systems on scholarly tabular data
saiki-k/VinaGUI
A GUI wrapper for AutoDock Vina, written in Python (and Tkinter)