Sohom chakraborty's starred repositories
educative.io_courses
this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack
LockFreeQueue
A lock-free multi-producer multi-consumer ring buffer FIFO queue.
thread-pool
Thread pool implementation using c++11 threads
Cpp-High-Performance-Second-Edition
C++ High Performance Second Edition, published by Packt
project-based-learning
Curated list of project-based tutorials
system-design-patterns
Resources related to distributed systems, system design, microservices, scalability and performance, etc
educational
Educational Codes
multithread-lab
Exercises for c# multithreading.
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Designing-Data-Intensive-Applications-Notes
My reading notes following "Designing Data Intensive Applications" (DDIA) by Martin Kleppmann
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
system-design
Learn how to design systems at scale and prepare for system design interviews
professional-programming
A collection of learning resources for curious software engineers
modern_cpp_series
Code for my Modern C++ Articles
full-stack-with-react-and-spring-boot
Your First Full Stack Application with React and Spring Boot
pytorch-lora
LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
pytorch-llama
LLaMA 2 implemented from scratch in PyTorch
pytorch-stable-diffusion
Stable Diffusion implemented from scratch in PyTorch
pytorch-transformer
Attention is all you need implementation
Cheat-Sheet-for-Python-Machine-Learning-and-Data-Science
These cheat sheets have recently been re-designed into Super High-Resolution PDF. These cheat sheets are very helpful as a quick reference for the concepts.
LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing
LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.