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The official implementation of our work How to Probe: Simple Yet Effective Techniques for Improved Post-hoc Explanations
A bag of functions for data science
ElasticTok: Adaptive Tokenization for Image and Video
A suite of image and video neural tokenizers
A Pythonic framework to simplify AI service building
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
Platform for General Robot Intelligence Development
Hiera: A fast, powerful, and simple hierarchical vision transformer.
FFCV: Fast Forward Computer Vision (and other ML workloads!)
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.
A curated list of awesome self-supervised methods
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Deep Clustering for Unsupervised Learning of Visual Features
Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning
Aligns faces to the canonical face in both videos and images
A course project for Digital Image Processing
A basic prototype HDFS implementation written from scratch.
Extracts the shot classes and generic visual features for a broadcast news video.
CCExtractor - Official version maintained by the core team
Tesseract Open Source OCR Engine (main repository)