Refreshed

Author: krzjoa

README.md

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 ### PyTorch
 * [PyTorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
+* [pytorch-lightning](https://github.com/Lightning-AI/lightning) - PyTorch Lightning is just organized PyTorch. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
 * [torchvision](https://github.com/pytorch/vision) - Datasets, Transforms and Models specific to Computer Vision. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
 * [torchtext](https://github.com/pytorch/text) - Data loaders and abstractions for text and NLP. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
 * [torchaudio](https://github.com/pytorch/audio) - An audio library for PyTorch. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
 * [ignite](https://github.com/pytorch/ignite) - High-level library to help with training neural networks in PyTorch. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
-* [PyToune](https://github.com/GRAAL-Research/pytoune) - A Keras-like framework and utilities for PyTorch.
 * [skorch](https://github.com/dnouri/skorch) - A scikit-learn compatible neural network library that wraps pytorch. <img height="20" src="img/sklearn_big.png" alt="sklearn"> <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
-* [PyTorchNet](https://github.com/pytorch/tnt) - An abstraction to train neural networks. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
 * [pytorch_geometric](https://github.com/rusty1s/pytorch_geometric) - Geometric Deep Learning Extension Library for PyTorch. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
 * [Catalyst](https://github.com/catalyst-team/catalyst) - High-level utils for PyTorch DL & RL research. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
 * [pytorch_geometric_temporal](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) - Temporal Extension Library for PyTorch Geometric. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
@@ -157,6 +156,7 @@
 * [MXNet](https://github.com/ROCmSoftwarePlatform/mxnet) - HIP Port of MXNet. <img height="20" src="img/mxnet_big.png" alt="MXNet based"> <img height="20" src="img/amd_big.png" alt="Possible to run on AMD GPU">
 
 ### Others
+* [jax](https://github.com/google/jax) - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.
 * [Tangent](https://github.com/google/tangent) - Source-to-Source Debuggable Derivatives in Pure Python.
 * [autograd](https://github.com/HIPS/autograd) - Efficiently computes derivatives of numpy code.
 * [Myia](https://github.com/mila-udem/myia) - Deep Learning framework (pre-alpha).
@@ -263,6 +263,8 @@
 
 
 ## Model Explanation
+
+* [dalex](https://github.com/ModelOriented/DALEX) - moDel Agnostic Language for Exploration and eXplanation.
 * [Shapley](https://github.com/benedekrozemberczki/shapley) - A data-driven framework to quantify the value of classifiers in a machine learning ensemble. 
 * [Alibi](https://github.com/SeldonIO/alibi) - Algorithms for monitoring and explaining machine learning models.
 * [anchor](https://github.com/marcotcr/anchor) - Code for "High-Precision Model-Agnostic Explanations" paper.
@@ -377,7 +379,6 @@
 * [NLTK](https://github.com/nltk/nltk) -  Modules, data sets, and tutorials supporting research and development in Natural Language Processing.
 * [CLTK](https://github.com/cltk/cltk) - The Classical Language Toolkik.
 * [gensim](https://radimrehurek.com/gensim/) - Topic Modelling for Humans.
-* [PSI-Toolkit](http://psi-toolkit.amu.edu.pl/) - A natural language processing toolkit.
 * [pyMorfologik](https://github.com/dmirecki/pyMorfologik) - Python binding for <a href="https://github.com/morfologik/morfologik-stemming">Morfologik</a>.
 * [skift](https://github.com/shaypal5/skift) - Scikit-learn wrappers for Python fastText. <img height="20" src="img/sklearn_big.png" alt="sklearn">
 * [Phonemizer](https://github.com/bootphon/phonemizer) - Simple text to phonemes converter for multiple languages.
@@ -450,6 +451,8 @@
 * [PySal](https://github.com/pysal/pysal) - Python Spatial Analysis Library.
 
 ## Quantum Computing
+* [qiskit](Qiskit/qiskit) - Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
+* [cirq](https://github.com/quantumlib/Cirq) - A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits. 
 * [PennyLane](https://github.com/XanaduAI/pennylane) - Quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations.
 * [QML](https://github.com/qmlcode/qml) - A Python Toolkit for Quantum Machine Learning.