Inference code for Llama models

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

The fundamental package for scientific computing with Python.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Perform data science on data that remains in someone else's server

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

Official repo for consistency models.

AI Toolkit for Healthcare Imaging

Modeling, training, eval, and inference code for OLMo

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

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 24 datasets. www.pfllib.com/

A curated list for Efficient Large Language Models

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

[ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding

Research on Tabular Deep Learning: Papers & Packages

Leaf: A Benchmark for Federated Settings

A Supervised and Semi-Supervised Object Detection Library for YOLO Series

Foundation model for weather & climate

MetaFormer Baselines for Vision (TPAMI 2024)

This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.

[CVPR23] Official Implementation of MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)

Shepherd: A foundational framework enabling federated instruction tuning for large language models

Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)

Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.

[ICLR 2024] Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation

Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)