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All Algorithms implemented in Python
🤗 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.
Manipulate audio with a simple and easy high level interface
Speech recognition module for Python, supporting several engines and APIs, online and offline.
Python library for audio and music analysis
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
An open source library for deep learning end-to-end dialog systems and chatbots.
Extract Keywords from sentence or Replace keywords in sentences.
A Python implementation of LightFM, a hybrid recommendation algorithm.
A collection of important graph embedding, classification and representation learning papers with implementations.
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Dete…
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
The basic distribution probability Tutorial for Deep Learning Researchers
Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.
Layers Outputs and Gradients in Keras. Made easy.
Using transformers to predict next word and predict <mask> word
an open-source, cross-platform toolbox for minimal-effort programming of eye tracking experiments
⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
Gaze Estimation using Deep Learning, a Tensorflow-based framework.
A collection of tutorials for Snorkel
[ECCV 2020] PyTorch code for XML on TVRetrieval dataset - TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
BERT Question and Answer system meant and works well for only limited number of words summary like 1 to 2 paragraphs only. It can’t be able to answer well from understanding more than 10 pages of d…