Nirban Das's repositories
ACM-ICPC-Algorithms
Algorithms used in Competitive Programming
audacity
Audio Editor
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
BlackFriday-GPTs-Prompts
List of free GPTs that doesn't require plus subscription
BYOD
Build-your-own guitar distortion!
darknet
Convolutional Neural Networks
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
coding-interview-gym
leetcode.com , algoexpert.io solutions in python and swift
dl-hw1
Deep Learning Homework 1
free-for-dev
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
ggml
Tensor library for machine learning
GuitarLSTM
Deep learning models for guitar amp/pedal emulation using LSTM with Keras.
lotion
Unofficial Notion.so app for Linux
Machine-Learning-Numpy
Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
mldsp-papers
Collection of papers related to neural nets/machine learning for audio DSP.
neural-amp-modeler
Neural network emulator for guitar amplifiers.
NeuralPi
Raspberry Pi guitar pedal using neural networks to emulate real amps and effects.
nn.h
Simple stb-style header-only library for Neural Networks
numpy-ml
Machine learning, in numpy
pytorch-cpp
C++ Implementation of PyTorch Tutorials for Everyone
RTNeural
Real-time neural network inferencing
violent-python3
Source code for the book "Violent Python" by TJ O'Connor. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate dependency issues involving the implementation of deprecated libraries.