Minal S Patil (minalspatil)

minalspatil

Geek Repo

Company:Umeå universitet

Location:Umeå, Sweden

Home Page:https://minalspatil.github.io/

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Minal S Patil 's repositories

applied-reinforcement-learning

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

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Awesome-Incremental-Learning

Awesome Incremental Learning

awesome-mlss

List of summer schools in machine learning + related fields across the globe

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Awesome-Quant-Machine-Learning-Trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

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cam-notes

My Cambridge Lecture Notes

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coax

Turn RL papers into code, the easy way

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conceptnet5

Code for building ConceptNet from raw data.

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deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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DrWhy

DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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gym-minigrid

Minimalistic gridworld package for OpenAI Gym

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interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

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jason

Jason is a fully-fledged interpreter for an extended version of AgentSpeak, a BDI agent-oriented logic programming language.

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lucid

A collection of infrastructure and tools for research in neural network interpretability.

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matlab2tikz

This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.

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mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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NSCL-PyTorch-Release

PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).

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numpy-100

100 numpy exercises (with solutions)

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phasic-policy-gradient

Code for the paper "Phasic Policy Gradient"

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PlotNeuralNet

Latex code for making neural networks diagrams

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poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

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RLTrader

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

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rsmf

Right-size my figures

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snorkel

A system for quickly generating training data with weak supervision

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trfl

TensorFlow Reinforcement Learning

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ucl-dark.github.io

UCL Deciding, Acting, and Reasoning with Knowledge (DARK) Lab

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what-if-tool

Source code/webpage/demos for the What-If Tool

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