sagnibak Goto Github PK

2017-18_bossbots

This is the official repository for FIRST Tech Challenge Team 524 of Campolindo High School. This not only helps us coordinate our work, but also acts as a way to share our innovations with other FTC teams, as well as with the robotics community at large.

aoc-2022

Advent of Code 2022. This makes me publicly accountable.

blog_old

Ghost's default theme (Casper) on Jekyll

brainfuck-plus

A dialect of the BrainFuck language that allows for easier debugging, is completely open-source and completely in Python.

calhacks2

Calhacks baby project

cpython

The Python programming language

cs284a_cg_project3-1

UC Berkeley Computer Graphics Project 3-1

cs285-homework

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

cvmlib

CVM Class Library

donkey

self driving car

dosenet-analysis

Tools for analysis with DoseNet's open access data.

enigma-v-2.0

Linux is simple, It just requires a genius to understand its simplicity

ftc_app

FTC Android Studio project to create FTC Robot Controller app.

func_py

This is a companion to my series "Python is the Haskell You Never Knew You Had" on my blog.

hack-the-northeast-beyond

A very inconvenient hack XD

helix

A post-modern modal text editor.

hello-world

helloworld

homework_fall2021

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

lofai

lofi music generation using AI

lofai-web

web app to listen to lofi-inspired music generated using AI

ml-visualizer

Visualizer of the decision boundaries of various ML algorithms, made at Treehacks.

mld-hackathon

models

Models and examples built with TensorFlow

mutt-lang

A programming language to teach the younglings about memory in programming.

nac-loss-vis

Visualizing loss functions to better understand why Neural Accumulators/Arithmetic Logic Units perform better at certain tasks compared to vanilla MLPs.

orst

Sorting algorithms in Rust

sagnibak.github.io

My personal website https://sagnibak.github.io/

scikit-learn

scikit-learn: machine learning in Python

sdc-end-to-end-driving

This simulation of a car uses steering angle predictions from a convolutional neural network, this is also called end-to-end learning. It is able to drive fully autonomously on the whole track with only one round of training data. The project was part of the Self-Driving Car Engineer program.