bhattacharjee Goto Github PK

ace_experiments

Experiments to learn the ACE library

andrew-ng-machine-learning-programming-solutions-

open course on coursera.org Stanford University

attention-routing-capsules

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

capsnet-fashion-mnist

Capsule Network on Fashion MNIST dataset

capsule-network-keras

A Capsule Network implementation in pure Keras running on Tensorflow 2.0

colab-ngrok

Colab-ngrok

coursera-andrew-ng-assignments

Course Work

coursera-gan-specialization

coursera-reinforcement-learning-ualberta

crispy-bassoon

practice rust programs 2

ctf2022

curl

A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET and TFTP. libcurl offers a myriad of powerful features

cyner

Cyber Security concepts extracted from unstructured threat intelligence reports using Named Entity Recognition

databook

Code samples from Data Driven Science and Engineering downloaded from databookuw.com

dotfiles

My personal configuration files for Awesome, Picom, Kitty, Fish, Neovim, mpd, ncmpcpp, and Rofi.

ebpf-special-palm-tree

some ebpf applications

ebpf-training

fuzzy-funicular

Rust book - running examples

glowing-octo-waddle

Refugees taken compared with GDP per capita

gperftools

Main gperftools repository

homework-of-c-language

C/C++ code examples of my blog.

jacanawindbg

Scripts for Windbg

jsmn

Jsmn is a world fastest JSON parser/tokenizer. This is the official repo replacing the old one at Bitbucket

learning-ebpf

Learning eBPF, published by O'Reilly - out now! Here's where you'll find a VM config for the examples, and more

ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

mlops-course

A project-based course on the foundations of MLOps with a focus on intuition and application.

mtu-decision-analytics-assignment

mtu-deep-learning-assignments-sem2

mtu-knowledge-representation-assignment-lab

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"