Raghav Mantri's starred repositories
BetterDisplay
Unlock your displays on your Mac! Flexible HiDPI scaling, XDR/HDR extra brightness, virtual screens, DDC control, extra dimming, PIP/streaming, EDID override and lots more!
MonitorControl
🖥 Control your display's brightness & volume on your Mac as if it was a native Apple Display. Use Apple Keyboard keys or custom shortcuts. Shows the native macOS OSDs.
azure-sql-db-django
REST API using Python, Django, Azure SQL DB & mssql-django driver
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
LeetCode-Questions-CompanyWise
Contains Company Wise Questions sorted based on Frequency and all time
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
NTU-CE4045-NLP
Group repo for the CE4045 Group Project
missing-semester
The Missing Semester of Your CS Education 📚
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
rust-raspberrypi-OS-tutorials
:books: Learn to write an embedded OS in Rust :crab:
vuesax-next
Vuesax v4: framework components for Vuejs
New-Grad-Positions
A collection of New Grad full time roles in SWE, Quant, and PM.
front-end-interview-handbook
⚡️ Front End interview preparation materials for busy engineers
project-based-learning
Curated list of project-based tutorials
fqf-iqn-qrdqn.pytorch
PyTorch implementation of FQF, IQN and QR-DQN.
Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
numpy_exercises
Numpy exercises.
DRQN-tensorflow
Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
vivek9patel.github.io
Personal portfolio website simulating Ubuntu 20.04, made using NEXT.js & tailwind CSS
Maze-Solving-Robot-CE3004-MDP-
A Robot that navigates and solves mazes (Hardware)
PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).