satyajitdas01081991

40-Algorithms-Every-Programmer-Should-Know

40 Algorithms Every Programmer Should Know, published by Packt

AI_Curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

Algorithms-and-Coding-Interviews

Open source content from a book in progress, Hands-on Algorithmic Problem Solving

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

ar-cutpaste

Cut and paste your surroundings using AR

Book_List

Python, Machine Learning, Deep Learning and Data Science Books

DeepFaceLab

DeepFaceLab is the leading software for creating deepfakes.

OpenVino-For-SmartCity

Project-Euler-solutions

Runnable code for solving Project Euler problems in Java, Python, Mathematica, Haskell.

satyajitdas01081991/DeepFaceLab

DeepFaceLab is the leading software for creating deepfakes.

satyajitdas01081991/Project-Euler-solutions

Runnable code for solving Project Euler problems in Java, Python, Mathematica, Haskell.

satyajitdas01081991/40-Algorithms-Every-Programmer-Should-Know

40 Algorithms Every Programmer Should Know, published by Packt

satyajitdas01081991/AI_Curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

satyajitdas01081991/Algorithms-and-Coding-Interviews

Open source content from a book in progress, Hands-on Algorithmic Problem Solving

satyajitdas01081991/ar-cutpaste

Cut and paste your surroundings using AR

satyajitdas01081991/awesome-courses

:books: List of awesome university courses for learning Computer Science!

satyajitdas01081991/benchmarking-gnns

Repository for benchmarking graph neural networks

satyajitdas01081991/bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

satyajitdas01081991/Best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

satyajitdas01081991/educational

Deep_MInd_Resources

satyajitdas01081991/fastbook

Draft of the fastai book

satyajitdas01081991/Grokking-Deep-Learning

this repository accompanies the book "Grokking Deep Learning"

satyajitdas01081991/Grokking-the-Coding-Interview-Patterns-for-Coding-Questions

satyajitdas01081991/inference

Reference implementations of MLPerf™ inference benchmarks

satyajitdas01081991/introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

satyajitdas01081991/LED-Fireworks

Create a firework effect with WS2812b LED and a MCU

satyajitdas01081991/LO-Shot

Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning

satyajitdas01081991/ml_algo_app

satyajitdas01081991/MML-Book

Code / solutions for Mathematics for Machine Learning (MML Book)

satyajitdas01081991/monk_v1

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

satyajitdas01081991/my_project

satyajitdas01081991/opencv-intro

satyajitdas01081991/polarization

If you are a computer scientist or a physicist aspiring to become a quantum computing scientist, this list is for you. The topics include: Quantum mechanics Quantum information processing Quantum computing Quantum information theory

satyajitdas01081991/random

random scripts

satyajitdas01081991/sciblog_support

Support content for my blog

satyajitdas01081991/shala2020.github.io

Lectures and notes for a summer course on DS, ML, and AI

satyajitdas01081991/system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

satyajitdas01081991/testing-

satyajitdas01081991/Text_Classification

Text Classification Algorithms: A Survey