afourast's Stars
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
ml-explore/mlx
MLX: An array framework for Apple silicon
kkroening/ffmpeg-python
Python bindings for FFmpeg - with complex filtering support
andabi/deep-voice-conversion
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
yuchenlin/rebiber
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
idiap/fast-transformers
Pytorch library for fast transformer implementations
TengdaHan/CoCLR
[NeurIPS'20] Self-supervised Co-Training for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.
yukimasano/PASS
The PASS dataset: pretrained models and how to get the data
Andrew-Brown1/Smooth_AP
code for the ECCV '20 paper "Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval"
mpc001/end-to-end-lipreading
Pytorch code for End-to-End Audiovisual Speech Recognition
joonson/voxconverse
Spot the conversation: speaker diarisation in the wild
facebookresearch/selavi
This repo covers the implementation for Labelling unlabelled videos from scratch with multi-modal self-supervision, which learns clusters from multi-modal data in a self-supervised way.
tonylins/simclr-converter
A PyTorch converter for SimCLR checkpoints
idiap/attention-sampling
This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using attention-sampling
hche11/Localizing-Visual-Sounds-the-Hard-Way
Localizing Visual Sounds the Hard Way
DTaoo/Discriminative-Sounding-Objects-Localization
Code for Discriminative Sounding Objects Localization (NeurIPS 2020)
facebookresearch/video-distant-supervision
This is an official pytorch implementation of Learning To Recognize Procedural Activities with Distant Supervision. In this repository, we provide PyTorch code for training and testing as described in the paper. The proposed distant supervision framework achieves strong generalization performance on step classification, recognition of procedural activities, step forecasting (New Task!) and egocentric activity classification.
angeloskath/pytorch-boilerplate
Boilerplate code for running experiments with PyTorch