Stars
Self-Supervised Speech Pre-training and Representation Learning Toolkit
A set of demo applications that make use of google speech, nlp and vision apis based in angular2
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Socket.IO integration for Flask applications.
Gathers Python deployment, infrastructure and practices.
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
Pytorch implementation of convolutional neural network visualization techniques
Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)
Implementation of State-of-the-art Text Classification Models in Pytorch
Text classification using deep learning models in Pytorch
A game theoretic approach to explain the output of any machine learning model.
Directions overlay for working with pandas in an analysis environment
🤗 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.
Code for YouTube series: Deep Learning for Audio Classification
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Analyzes signal, finds fundamental frequency, HNR etc
This project is a tool to build CheXNet-like models, written in Keras.