nishant-pall Goto Github PK

hackermann

hadron-collider-machine-learning

Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC

hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

higgs-boson

Machine learning competition - finding the Higgs boson by using original data from CERN.

horse-human-predictor

Dataset was containing horses and humans pictured doing different actions, although images are generated, it does quite well on real pictures as well.

jbook

js-practice

getting back in the groove

jsx-renderer

kenlm

KenLM: Faster and Smaller Language Model Queries

keras-wavenet

Keras implementation of deepmind's wavenet paper

kioptrix-exploit

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

learn-natural-language-processing-curriculum

This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube

lhcb_trigger_ml

LHCb trigger based on machine learning research

linux-krsi

Fork from git://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git (unstable and force pushed!)

lireddit

machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

minesweeper

ml-prac

These are some ML Notebooks I'm practicing as a revision, datasets will be alongside in the repo

models

Models and examples built with TensorFlow

multithread-server

myprofile

Config files for my GitHub profile.

neovim-config

nesty-code

next-prac

nishant-pall.github.io

nlp-prac

Revising some NLP

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries