Material for cuda-mode lectures

MOT using deepsort and yolov3 with pytorch

📊 Benchmark multiple object trackers (MOT) in Python

HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).

A pure NumPy implementation of Mamba.

Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.

A family of lightweight multimodal models.

SoccerNet@CVPR | 1st place solution for Ball Action Spotting Challenge 2023

A flexible and efficient codebase for training visually-conditioned language models (VLMs)

Command-line program to download image galleries and collections from several image hosting sites

Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

A Native-PyTorch Library for LLM Fine-tuning

Robust fine-tuning of zero-shot models

Let us control diffusion models!

Contains Company Wise Questions sorted based on Frequency and all time

A curated list of resources for Image and Video Deblurring

Software design principles for machine learning applications

Machine Learning Engineering Open Book

Deep learning for dummies. All the practical details and useful utilities that go into working with real models.

The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.

Set-of-Mark Prompting for LMMs

Official repository of paper "Subobject-level Image Tokenization"

A curated list to learn about distributed systems

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

tiny vision language model

OpenMMLab Foundational Library for Training Deep Learning Models

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