NickyFot

NickyFot

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shape_predictor_81_face_landmarks

Custom shape predictor model trained to find 81 facial feature landmarks given any image

Language:PythonLicense:BSD-3-ClauseStargazers:462Issues:0Issues:0

SelfBlendedImages

[CVPR 2022 Oral] Detecting Deepfakes with Self-Blended Images https://arxiv.org/abs/2204.08376

Language:PythonLicense:NOASSERTIONStargazers:193Issues:0Issues:0

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

Language:HTMLLicense:MITStargazers:10107Issues:0Issues:0

bert_score

BERT score for text generation

Language:Jupyter NotebookLicense:MITStargazers:1524Issues:0Issues:0

DiffFace

DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis

Stargazers:19Issues:0Issues:0

AV-Deepfake1M

[ACM MM] AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

License:NOASSERTIONStargazers:59Issues:0Issues:0

SeqDeepFake

[ECCV 2022] PyTorch code for SeqDeepFake: Detecting and Recovering Sequential DeepFake Manipulation

Language:PythonStargazers:123Issues:0Issues:0
Language:PythonLicense:Apache-2.0Stargazers:6Issues:0Issues:0

DeepfakeBench

A comprehensive benchmark of deepfake detection

Language:PythonLicense:NOASSERTIONStargazers:411Issues:0Issues:0

AntifakePrompt

This is the official implementation of AntifakePrompt.

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:22Issues:0Issues:0

Awesome-Open-Vocabulary-Object-Detection

A curated list of papers, datasets and resources pertaining to open vocabulary object detection.

Stargazers:256Issues:0Issues:0
License:MITStargazers:127Issues:0Issues:0

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

Language:PythonLicense:NOASSERTIONStargazers:1660Issues:0Issues:0

TLC

PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)

Language:PythonStargazers:54Issues:0Issues:0

soft-moe-pytorch

Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch

Language:PythonLicense:MITStargazers:229Issues:0Issues:0

CLIP_Surgery

CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

Language:Jupyter NotebookStargazers:326Issues:0Issues:0

st-moe-pytorch

Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch

Language:PythonLicense:MITStargazers:261Issues:0Issues:0

mixture-of-experts

A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models

Language:PythonLicense:MITStargazers:584Issues:0Issues:0

meru

Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023

Language:PythonLicense:NOASSERTIONStargazers:122Issues:0Issues:0

co-tracker

CoTracker is a model for tracking any point (pixel) on a video.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:2588Issues:0Issues:0

emotic

Code repo for the EMOTIC dataset

Language:LuaLicense:NOASSERTIONStargazers:109Issues:0Issues:0

hiera

Hiera: A fast, powerful, and simple hierarchical vision transformer.

Language:PythonLicense:Apache-2.0Stargazers:762Issues:0Issues:0

decord

An efficient video loader for deep learning with smart shuffling that's super easy to digest

Language:C++License:Apache-2.0Stargazers:1764Issues:0Issues:0

LaViLa

Code release for "Learning Video Representations from Large Language Models"

Language:PythonLicense:MITStargazers:472Issues:0Issues:0

LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Language:PythonLicense:MITStargazers:9975Issues:0Issues:0

BLIP

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:4522Issues:0Issues:0

awesome-Vision-and-Language-Pre-training

Recent Advances in Vision and Language Pre-training (VLP)

License:Apache-2.0Stargazers:285Issues:0Issues:0
Language:PythonStargazers:151Issues:0Issues:0

fast_pytorch_kmeans

This is a pytorch implementation of k-means clustering algorithm

Language:PythonLicense:MITStargazers:272Issues:0Issues:0

Class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

Language:PythonLicense:MITStargazers:775Issues:0Issues:0