Akimoto-Cris

superblock

A block oriented training approach for inference time optimization.

Generalized-Long-Tailed-Benchmarks.pytorch

[ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute-wise imbalance within each class. The proposed IFL together with other baselines are also included.

vscode_debug_transformers

vscode-js-debug

A DAP-compatible JavaScript debugger. Used in VS Code, VS, + more

multiflow

Official implementation of the paper "Multiflow: Shifting Towards Task-Agnostic Vision-Language Pruning", accepted at CVPR 2024.

SqueezeLLM

[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization

q-diffusion

[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.

ChatProtect

This is the code for the paper "Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation".

selfcheckgpt

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Vim

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Video-Swin-Transformer

This is an official implementation for "Video Swin Transformers".

float8_experimental

This repository contains the experimental PyTorch native float8 training UX

Co-Instruct

④[Comparison among Multiple Images!] A study on open-ended multi-image quality comparison: a dataset, a model and a benchmark.

langchain

🦜🔗 Build context-aware reasoning applications

DD3412-chain-of-verification-reproduction

Re-implementation of the paper "Chain-of-Verification Reduces Hallucination in Large Language Models" for hallucination reduction. Developed as a final project of the Advanced Deep Learning course (DD3412) at KTH.

OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

torchinterp1d

1D interpolation for pytorch

EasyQuant

EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

LiDAR-PTQ

ICLR2024: LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.

RepQ-ViT

[ICCV 2023] RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers

QDrop

The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

MRECG

Incremental-Network-Quantization

Caffe Implementation for Incremental network quantization

PD-Quant

[CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric

CalibTIP

Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

transformer-quantization

smoothquant

[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

deepsparse

Sparsity-aware deep learning inference runtime for CPUs

LoRA

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

sparsegpt

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