ak5055's Stars
abhinavg97/live-streaming-with-p2p
abhinavg97/live-stream-origin
Origin server for live stream
jupyterlab/extension-examples
JupyterLab Extensions by Examples
joaosilvalopes/linkedin-easy-apply-bot
Samhit-Chowdary/4156-Team-project
guipsamora/pandas_exercises
Practice your pandas skills!
omm-prakash/MemesNet
A Multi-Modality Deep Learning Model To Detect Hateful Memes
Ikea-179/Hateful-Meme-Detection
A Multimodal Deep-Learning-based Project aimed to classify whether the given meme is hateful or not
agrawals1/Hateful-Meme-Classification
Classification of memes into hateful and non-hateful using only images, only text and then fusion of both image and text features
NirmalenduPrakash/Application
Facebook hateful meme detection and CNN/DM text summarisation
SuvimalYashraj/Hateful-Meme-Detector
Classify memes into hateful or not hateful using multimodal sentiment analysis using ResNet and BERT models
HassaanMahboob/MemeAnalyser
AI tool for Meme identification and hateful meme detection
BishalLakha/Hateful-Meme-Classification-using-GNN
Detecting Hateful Memes using Multimodal Graph Neural Network
MilanKalkenings/unimodal_hateful_memes_detection
Social-AI-Studio/Mod_HATE
Official repository for WWW'24 paper "Modularized Networks for Few-shot Hateful Meme Detection"
DorBernsohn/multimodal_hateful_memes_classification
multimodal deep learning model to detect hateful memes
MilanKalkenings/multimodal_hateful_memes_detection
A modular transformer for detecting hateful memes. The model contains 6 submodels for creating input embeddings: 1. BERT embedder (text), 2. sentiment embedder (text), 3. association embedder via knowledge graph (text), 4. CNN embedder (image), 5. VisualBERT embedder (image), 6. Object embedder (image)
nyu-ce-projects/hateful-memes-multimodal
Exploring Emerging Properties in Multimodal Neural Network
Huahua2021/hateful_memes_challenge
document, code and models of the hateful memes challenge
dinhanhx/paraphrased_text_for_hm
Paraphrased text for hateful memes dataset
solanki-aman/hateful-memes-challenge
The Hateful Memes Challenge is designed to measure progress in multimodal vision-and-language reasoning and understanding.
basemkhanji/Hateful_Memes
This project contains the codes I used to participate in DrivenData competition(sponsored by Facebook). I obtained rank 60 (AUC = 0.59) out of 3,173 contestants ... Not bad for my first try!
mk-fryer/HatefulMemesDetection
harjeet-blue/Multimodal-hateful-meme-detection
Multimodal (Visuals & Language) hateful memes detection: on Hateful memes challenge dataset
princexoleo/Hateful_Meme_Challenge
Hateful Memes dataset contains real hate speech. The Real Hateful Memes dataset consists of more than 10,000 newly created examples by Facebook AI.
explainingai-code/StableDiffusion-PyTorch
This repo implements a Stable Diffusion model in PyTorch with all the essential components.
the-ogre/LLM-QAwithQuantizedMistral7bLangchainRAGKidneyDisease
This repo is about pulling data from external urls, using them as knowledge base, and anwering questions on kidney disease.
wangermeng2021/llm-webui
A Gradio web UI for Large Language Models. Supports LoRA/QLoRA finetuning,RAG(Retrieval-augmented generation) and Chat
NovaSearch-Team/RAG-Retrieval
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
mrdbourke/simple-local-rag
Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.