marcomoldovan's Stars
3b1b/manim
Animation engine for explanatory math videos
google-research/google-research
Google Research
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
allenai/allennlp
An open-source NLP research library, built on PyTorch.
speechbrain/speechbrain
A PyTorch-based Speech Toolkit
lucidrains/DALLE-pytorch
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
victoresque/pytorch-template
PyTorch deep learning projects made easy.
facebookresearch/InferSent
InferSent sentence embeddings
jalammar/ecco
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
ml-jku/hopfield-layers
Hopfield Networks is All You Need
facebookresearch/DPR
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
facebookresearch/svoice
We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
The-AI-Summer/self-attention-cv
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
brmson/dataset-sts
Semantic Text Similarity Dataset Hub
rkadlec/ubuntu-ranking-dataset-creator
A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.
svenkle/google-drive-add-to-explorer
luyug/Reranker
Build Text Rerankers with Deep Language Models
AdeDZY/K-NRM
K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling
JeremyLinux/PyTorch-Radial-Basis-Function-Layer
An implementation of an RBF layer/module using PyTorch.
Georgetown-IR-Lab/cedr
Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.
jiangqn/Text-Style-Transfer
A list of resources about Text Style Transfer
Westlake-AI/Markov-Lipschitz-Deep-Learning
johny-c/mlcv-tutorial
Assisting library for the ML4CV tutorial based on scikit-learn.
malteos/semantic-document-relations
Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"
airKlizz/MsMarco
Re-ranking task using MS MARCO dataset and Hugging Face library
The-AI-Summer/JAX-examples
A set of of fundamental operations and deep learning models using JAX
asahicantu/DAT640-FINAL-PROJECT
Final project for the Information Retrieval and Text Mining. Project Name: MS-MARCO Document Reranking