Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A PyTorch reimplementation of bottom-up-attention models
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
A curated list of awesome self-supervised methods
Shared repository for open-sourced projects from the Google AI Language team.
Variational Methods for Pretraining in Resource-limited Environments
Acceptance rates for the major AI conferences
Google Research
📖 A collection of pure bash alternatives to external processes.
Code for the paper "Sampling Bias in Deep Active Classification: An Empirical Study"
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
A fully convolution-network for speech-to-text, built on pytorch.
A PyTorch Implementation of End-to-End Models for Speech-to-Text
🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge
Models and examples built with TensorFlow
kaldi-asr/kaldi is the official location of the Kaldi project.
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…