muzairkhattak

muzairkhattak's Stars

• unslothai/unsloth

  Finetune Llama 3.2, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 80% less memory

  Language:Python18.6k1291k1.3k

• anthropics/courses

  Anthropic's educational courses

  Language:Jupyter Notebook8.1k7017626

• JingyunLiang/SwinIR

  SwinIR: Image Restoration Using Swin Transformer (official repository)

  Language:Python4.5k52152551

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook3k22295419

• epfml/ML_course

  EPFL Machine Learning Course, Fall 2024

  Language:Jupyter Notebook1.3k9321910

• StanfordVL/taskonomy

  Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]

  Language:Python8513348145

• TencentARC/Open-MAGVIT2

  Open-MAGVIT2: Democratizing Autoregressive Visual Generation

  Language:Python706203929

• open-thought/system-2-research

  System 2 Reasoning Link Collection

  69623655

• EPFL-VILAB/MultiMAE

  MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022

  Language:Python550133359

• NVlabs/EAGLE

  EAGLE: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

  Language:Python542322045

• cientgu/VQ-Diffusion

  Language:Python44353043

• mlfoundations/task_vectors

  Editing Models with Task Arithmetic

  Language:Python43091836

• EvolvingLMMs-Lab/LongVA

  Long Context Transfer from Language to Vision

  Language:Python33682817

• haritheja-e/robot-utility-models

  Robot Utility Models are trained on a diverse set of environments and objects, and then can be deployed in novel environments with novel objects without any further data or training.

  Language:Python173656

• MMStar-Benchmark/MMStar

  [NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"

  Language:Python1491105

• snap-research/weights2weights

  Official Implementation of weights2weights

  Language:Jupyter Notebook1211184

• nv-dvl/segment-anything-lidar

  [ECCV 2024] Better Call SAL: Towards Learning to Segment Anything in Lidar

  110631

• zeyofu/BLINK_Benchmark

  This repo contains evaluation code for the paper "BLINK: Multimodal Large Language Models Can See but Not Perceive". https://arxiv.org/abs/2404.12390 [ECCV 2024]

  Language:Python1074127

• liuzhuang13/bias

  101741

• chs20/RobustVLM

  [ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

  Language:Python99673

• vinid/safety-tuned-llamas

  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.

  Language:Python71289

• UCSC-VLAA/vllm-safety-benchmark

  [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"

  Language:Python67413

• ys-zong/VLGuard

  [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.

  Language:Python45352

• ExplainableML/fomo_in_flux

  Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]

  351101

• zycheiheihei/Transferable-Visual-Prompting

  [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompting for Multimodal Large Language Models" has been accepted in CVPR2024.

  Language:Python32100

• umer-sheikh/bird-whisperer

  [InterSpeech 2024] Official code repository of paper titled "Bird Whisperer: Leveraging Large Pre-trained Acoustic Model for Bird Call Classification" accepted in InterSpeech 2024 conference.

  Language:Python31203

• koushiksrivats/robust-concept-erasing

  Official implementation of the paper "STEREO: Towards Adversarially Robust Concept Erasing from Text-to-Image Generation Models"

  15200

• renytek13/Soft-Prompt-Generation

  [ECCV 2024] Soft Prompt Generation for Domain Generalization

  Language:Python12321

• akhtarvision/weather-regional

  Language:Python10100

• mbzuai-oryx/BiMediX2

  Bio-Medical EXpert LMM with English and Arabic Language Capabilities

  20