Stars
Controllable video and image Generation, SVD, Animate Anyone, ControlNet, ControlNeXt, LoRA
Repository for Show-o, One Single Transformer to Unify Multimodal Understanding and Generation.
Large Language Models are Temporal and Causal Reasoners for Video Question Answering (EMNLP 2023)
An efficient video loader for deep learning with smart shuffling that's super easy to digest
Official inference repo for FLUX.1 models
A list of semi to fully remote-friendly companies (jobs) in tech.
A wonderful list of Game Development resources.
Codes From Top Teams in 2023 AIC challenge
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
DCT (discrete cosine transform) functions for pytorch
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
Source code for Twitter's Recommendation Algorithm
Source code for Twitter's Recommendation Algorithm
Ready-to-use SRT / WebRTC / RTSP / RTMP / LL-HLS media server and media proxy that allows to read, publish, proxy, record and playback video and audio streams.
[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
List of major web + mobile browser user agent strings. +1 Bonus script to scrape :)
jinook518 / WzComparerR2
Forked from KENNYSOFT/WzComparerR2Maplestory online Extractor
💯 Curated coding interview preparation materials for busy software engineers
FastAPI Skeleton App to serve machine learning models production-ready.
📚 ✏️ 🎓 A collection of textbooks, links and resources during our studying years in NUS SoC
Google Research
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919