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Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
Exercises from Stroustrup's "Programming - Principles and Practice Using C++" (First Edition)
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Source Code and Starter Code for Accelerated Computer Science Fundamentals Specialization on Coursera
Landing page for Software for Open Networking in the Cloud (SONiC) - https://sonic-net.github.io/SONiC/
An open-source AI agent that brings the power of Gemini directly into your terminal.
A curated list of awesome actions to use on GitHub
A system that performs algorithmic trading
Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM
A framework for few-shot evaluation of language models.
Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Welcome to the SDE Interview Preparation Roadmap! This repository is not just about my personal journey; it's a collaborative space for collective learning. As I prepare for Software Development En…
Achieve state of the art inference performance with modern accelerators on Kubernetes
Vim plugin for integrating Ollama based LLM (large language models)
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor…
Master the essential steps of pretraining large language models (LLMs). Learn to create high-quality datasets, configure model architectures, execute training runs, and assess model performance for…