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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Learn OpenCV : C++ and Python Examples
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Examples and guides for using the Gemini API
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Metric depth estimation from a single image
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
一个浙江大学本科生的计算机、地理信息科学知识库 包含课程资料 学习笔记 大作业等( 数据结构与算法、人工智能、地理空间数据库、计算机组成、计算机网络、图形学、编译原理等课程)
Released assignments for the Stanford's CS131 course on Computer Vision.
[AAAI 2025] DepthFM: Fast Monocular Depth Estimation with Flow Matching
(ECCV 2020) RANSAC-Flow: generic two-stage image alignment
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
这里是我对浙江大学混合班CS的一些课程的资料整理,希望能给予看到的朋友一些帮助。
Jupyter Notecbook tutorials for the Technion's EE Computer Vision course
Quick start scripts and tutorial notebooks to get started with TAO Toolkit
ZJU课程资料,主要含英语+CS专业课,不含不合适公开的资料和违反honor code的作业
Automatic Panoramic Image Stitching using SIFT detector and descriptor, RANSAC algorithm for best-fit homograpy, linear blending