Beast code in Giters

Baris Can Cam's starred repositories

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Language:Jupyter NotebookApache-2.046907 305 662

open-interpreter

A natural language interface for computers

Language:PythonAGPL-3.042175 317 747

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

NOASSERTION26596 286 41

tinyrenderer

A brief computer graphics / rendering course

Language:C++NOASSERTION20338 421 128

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

CC0-1.017624 365 24

FastSAM

Fast Segment Anything

Language:PythonAGPL-3.07382 57 203

point-e

Point cloud diffusion for 3D model synthesis

Language:PythonMIT6479 221 86

KeyDecoder

KeyDecoder app lets you use your smartphone or tablet to decode your mechanical keys in seconds.

Language:DartNOASSERTION3040 43 10

latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

Language:TeX2448 240

EVA

EVA Series: Visual Representation Fantasies from BAAI

Language:PythonMIT2232 30 157

sdfstudio

A Unified Framework for Surface Reconstruction

Language:PythonApache-2.01953 31 273

3dv_tutorial

An Invitation to 3D Vision: A Tutorial for Everyone

Language:CMakeNOASSERTION1472 45 9

awesome-normalizing-flows

Awesome resources on normalizing flows.

Language:PythonMIT1399 43 13

awesome-3d-reconstruction-papers

A collection of 3D reconstruction papers in the deep learning era.

746 230

FCGF

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

Language:PythonMIT635 26 69

nanosam

A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT

Language:PythonApache-2.0629 8 28

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"

Language:PythonMIT566 11 147

OccNet

[ICCV 2023] OccNet: Scene as Occupancy

Language:PythonApache-2.0555 17 45

Segment-Any-Point-Cloud

[NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Language:Python552 26 13

panoptic-lifting

[CVPR23 Highlight] Implementation for Panoptic Lifting

Language:PythonNOASSERTION319 9 42

STEAD

STanford EArthquake Dataset (STEAD):A Global Data Set of Seismic Signals for AI

Language:PythonCC-BY-4.0276 13 19

ATISS

Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021

Language:PythonNOASSERTION262 15 45

YOSO

Code release for paper "You Only Segment Once: Towards Real-Time Panoptic Segmentation" [CVPR 2023]

Language:PythonMIT250 3 25

vit-visualization

Language:Shell175 4 4

Doxa

A Local Adaptive Thresholding framework for image binarization written in C++, with JS and Python bindings. Implementing: Otsu, Bernsen, Niblack, Sauvola, Wolf, Gatos, NICK, Su, T.R. Singh, WAN, ISauvola, Bataineh, Chan and Shafait.

Language:C++CC0-1.0165 11 18

Transformer-CUDA

An implementation of the transformer architecture onto an Nvidia CUDA kernel

Language:Cuda153 5 1

multiscan

MultiScan: Scalable RGBD scanning for 3D environments with articulated objects

Language:PythonMIT111 4 15

buol

Language:Python42 2 5

foundation-models

Video descriptions of research papers relating to foundation models and scaling

29 30

yolact_cityscapes_550

Modified real-time instance segmentation network YOLACT for several object categories on CityScapes dataset

Language:PythonMIT2300

cancam