minalspatil Goto Github PK

lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

logictensornetworks

Deep Learning and Logical Reasoning from Data and Knowledge

lucid

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

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

manim

Animation engine for explanatory math videos

market_place_api

marketplace_api

market_placeapi

twenty third Dec Marketplace

matlab2tikz

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

medical-datasets

tracking medical datasets, with a focus on medical imaging

minal

minalspatil

Config files for my GitHub profile.

minerl

MineRL Competition for Sample Efficient Reinforcement Learning - Python Package

minte

MINTE - A Semantic Integration Approach for RDF Graphs

mintpy

Miami InSAR time-series software in Python

ml-contests-conf

ML and DL related contests, competitions and conference challenges.

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

multimodalexplanations

Code release for Park et al. Multimodal Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. in CVPR, 2018

neural-logic-machines

Implementation for the Neural Logic Machines (NLM).

neural-tangents

Fast and Easy Infinite Neural Networks in Python

neurasp

neuroscience-ai-reading-course

Notes for the Neuroscience & AI Reading Course (SEM-I 2020-21) at BITS Pilani Goa Campus

nle

The NetHack Learning Environment

nlrl

Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)

nonechucks

Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!

nscl-pytorch-release

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

numpy-100

100 numpy exercises (with solutions)

nuscenes-devkit

The devkit of the nuScenes dataset.

opennars

OpenNARS for Research 3.0+

perturb_explanations

Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"

phasic-policy-gradient

Code for the paper "Phasic Policy Gradient"