vinsis

sparsegpt

Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".

AutoKoopman

AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.

conditional-flow-matching

TorchCFM: a Conditional Flow Matching library

mobile-network-traffic

Notes and how to for capturing HTTP and HTTPS traffic from mobile devices for security analysis and advertising ops.

app-store-dash

Dashboard of iOS and Google Apps and Analytics

open-attribution

Open source MMP for ownership of your mobile ad data

Queryable

Run OpenAI's CLIP model on iOS to search photos.

GaLore

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

readings

awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

QUIK

Repository for the QUIK project, enabling the use of 4bit kernels for generative inference

qmoe

Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".

CLIPasso

fastfeedforward

A repository for log-time feedforward networks

low-bit-optimizers

Low-bit optimizers for PyTorch

Awesome-Language-Model-on-Graphs

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".

CompositionalKoopmanOperators

[ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control

OBC

Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".

ggml

Tensor library for machine learning

gptq

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

KnowledgeEditingPapers

Must-read Papers on Knowledge Editing for Large Language Models.

bitsandbytes

Accessible large language models via k-bit quantization for PyTorch.

cycle-diffusion

[ICCV 2023] A latent space for stochastic diffusion models

codellama

Inference code for CodeLlama models

rome

Locating and editing factual associations in GPT (NeurIPS 2022)

Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization

An Pytorch implementation of the paper Key-Locked Rank One Editing for Text-to-Image Personalization

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

LLM-Training-Puzzles

What would you do with 1000 H100s...