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

An official PyTorch implementation of "Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks," ICLR 2024.

Instruct-tune LLaMA on consumer hardware

A highly efficient implementation of Gaussian Processes in PyTorch

A Library for Advanced Deep Time Series Models.

Scalable and user friendly neural 🧠 forecasting algorithms.

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

To monitor gait patterns to detect freezing of gait. Done as part of the Singapore Science Mentorship Programme CS4131 module extended.

✨✨Latest Advances on Multimodal Large Language Models

[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型

GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100 datasets.

Awesome LLM compression research papers and tools.

A concise set of Latex templates that serves a small set of needs - CV, Essays, Articles and Problem Sets

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) H…

A curated list of neural network pruning resources.

Factor Fitting, Rank Allocation, and Partitioning in Multilevel Low Rank Matrices

A true minimalistic LaTeX beamer template

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures

Code for performing various projection pursuit routines

OpenMMLab's next-generation platform for general 3D object detection.

A novel variant of sliced Wasserstein based on a new slicing technique that utilizes the convolution operator.

Sliced Wasserstein Distance (SWD) in PyTorch

A library for efficient similarity search and clustering of dense vectors.

A curated list of awesome resources combining Transformers with Neural Architecture Search

A repository with Latent DIffusion Codebase for posterior sampling

An official implementation of "Deep Joint Source-Channel Coding with Iterative Source Error Correction"

An official code for "MIMO is all you need"