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aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

algorithms_and_data_structures

180+ Algorithm & Data Structure Problems using C++

asm_prog_ex_yasm

Assembly Language Adventures exercises for Yasm on Linux

build-your-own-x

🤓 Build your own (insert technology here)

c-style

My favorite C programming practices.

caffe-fold-batchnorm

Folds batch normalisation and the following scale layer into a single scale layer for networks trained in Caffe. This can be done at inference time to reduce memory consumption.

cmake-examples

A collection of as simple as possible, modern CMake projects

coding-interview-gym

leetcode.com , algoexpert.io solutions in python and swift

cu-net

Code for "Quantized Densely Connected U-Nets for Efficient Landmark Localization" (ECCV 2018) and "CU-Net: Coupled U-Nets" (BMVC 2018 oral)

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deformable-convnets

Deformable Convolutional Networks

embeddedml

esp32wroominitialsetup

gemmlowp

Low-precision matrix multiplication

graffitist

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow.

ibex

Ibex is a small 32 bit RISC-V CPU core, previously known as zero-riscy.

leet_sol

Leetcode Solution for Interview Preparation

netron

Visualizer for neural network, deep learning and machine learning models

nvim_config

Configuration files using NVChad for NVim

portfolio_old

A simple portfolio website using Bootstrap, CSS, JS and HTML

portfoliotryout

pulp-nn

qkeras

QKeras: a quantization deep learning library for Tensorflow Keras

rars

RARS -- RISC-V Assembler and Runtime Simulator

real-time-cpp

Real-Time C++ Companion Code

risc-v-on-pynq

RISC-V Integration for PYNQ

riscv_emu

A Simple RISC-V Emulator in Rust

rust-raspberrypi-os-tutorials

:books: Learn to write an embedded OS in Rust :crab:

sincnet

SincNet is a neural architecture for efficiently processing raw audio samples.

singadk

My Github landing page