Akimoto-Cris

langchain

🦜🔗 Build context-aware reasoning applications

OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Vim

[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

vscode-js-debug

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

Video-Swin-Transformer

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

SqueezeLLM

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

selfcheckgpt

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

EasyQuant

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

q-diffusion

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

HPT

HPT - Open Multimodal LLMs from HyperGAI

Awesome-Open-Vocabulary-Object-Detection

A curated list of papers, datasets and resources pertaining to open vocabulary object detection.

float8_experimental

This repository contains the experimental PyTorch native float8 training UX

Incremental-Network-Quantization

Caffe Implementation for Incremental network quantization

transformer-quantization

vscode_debug_transformers

torchinterp1d

1D interpolation for pytorch

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.

QDrop

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

RepQ-ViT

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

Co-Instruct

④[ECCV 2024 Oral, Comparison among Multiple Images!] A study on open-ended multi-image quality comparison: a dataset, a model and a benchmark.

LiDAR-PTQ

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

TFMQ-DM

[CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models".

PD-Quant

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

FG-OVD

[CVPR2024 Highlight] Official repository of the paper "The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding."

MRECG

ChatProtect

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

CalibTIP

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

superblock

A block oriented training approach for inference time optimization.

multiflow

[CVPR '24] Official implementation of the paper "Multiflow: Shifting Towards Task-Agnostic Vision-Language Pruning".

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.