ishrat-tl/LLaVA Fork of haotian-liu/LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Language: Python - Size: 13.4 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

ishrat-tl/whisperX Fork of m-bain/whisperX

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

Language: Python - Size: 23 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

ishrat-tl/faster-whisper Fork of SYSTRAN/faster-whisper

Faster Whisper transcription with CTranslate2

Language: Python - Size: 2.83 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

ishrat-tl/recognize-anything Fork of xinyu1205/recognize-anything

Code for the Recognize Anything Model (RAM) and Tag2Text Model

Language: Jupyter Notebook - Size: 22.3 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

ishrat-tl/Segment-and-Track-Anything Fork of z-x-yang/Segment-and-Track-Anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

Language: Jupyter Notebook - Size: 225 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

ishrat-tl/aot-benchmark Fork of yoxu515/aot-benchmark

An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch

Language: Python - Size: 76.2 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

ishrat-tl/FastSAM Fork of CASIA-IVA-Lab/FastSAM

Fast Segment Anything

Language: Python - Size: 64.4 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

ishrat-tl/medium

math renders for medium articles

Language: Jupyter Notebook - Size: 1000 Bytes - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

ishrat-tl/mmflow Fork of open-mmlab/mmflow

OpenMMLab optical flow toolbox and benchmark

Language: Python - Size: 21.1 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

ishrat-tl/mmsegmentation Fork of open-mmlab/mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Language: Python - Size: 13.6 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

ishrat-tl/GCVD-release Fork of yaochih/GCVD-release

Size: 108 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

ishrat-tl/Monocular-Depth-Estimation-Toolbox Fork of zhyever/Monocular-Depth-Estimation-Toolbox

Monocular Depth Estimation Toolbox based on MMSegmentation.

Size: 5.99 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

ishrat-tl/E2FGVI Fork of MCG-NKU/E2FGVI

Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)

Language: Python - Size: 36 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

ishrat-tl/PlaneRecNet Fork of EryiXie/PlaneRecNet

This is an official implementation for "PlaneRecNet" (BMVC 2021).

Language: Python - Size: 4.53 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

ishrat-tl/TransDepth Fork of ygjwd12345/TransDepth

Code for Transformers Solve Limited Receptive Field for Monocular Depth Prediction

Size: 634 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

ishrat-tl/PlanarReconstruction Fork of svip-lab/PlanarReconstruction

[CVPR'19] Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding

Size: 817 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

ishrat-tl/SceneSeg Fork of AnyiRao/SceneSeg

Codebase for CVPR2020 A Local-to-Global Approach to Multi-modal Movie Scene Segmentation

Size: 1.07 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

ishrat-tl/consistent_depth Fork of facebookresearch/consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

Size: 7.35 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0