SIMD-enhanced word counter

My reading notes following "Designing Data Intensive Applications" (DDIA) by Martin Kleppmann

Notes on books I read, talks I watch, articles I study, and papers I love

LaTeX source and supporting code for The Little Book of Semaphores, by Allen Downey.

Machine Learning Engineering Open Book

Memray is a memory profiler for Python

A collection of my book notes on various subjects, mainly computer science

Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

🔥Highlighting the top ML papers every week.

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Harness LLMs with Multi-Agent Programming

Mamba SSM architecture

function calling-based LLM agents

🏆 An awe-inspiring collection of resources, encompassing a wide range of tools, documents, resources, applications, and use cases related to ChatGPT.

Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

Web UI for ExLlamaV2

A community version of the "common API" for how the GitHub Engineering organization communicates

Distributed Reinforcement Learning accelerated by Lightning Fabric

Python bindings for llama.cpp

LlamaIndex is a data framework for your LLM applications

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Roadmap and Resource Compilation for System Design Fight Club

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

Python sample codes for robotics algorithms.

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