AydinAlptug / Fundamentals-of-Accelerated-Computing-with-CUDA-PythonLinks
This repository is for the assignments and exercises of NVIDIA DLI Course named Fundamentals of Accelerated Computing with CUDA Python
☆34Updated 3 years ago
Alternatives and similar repositories for Fundamentals-of-Accelerated-Computing-with-CUDA-Python
Users that are interested in Fundamentals-of-Accelerated-Computing-with-CUDA-Python are comparing it to the libraries listed below
Sorting:
- Just some stuff for Interview questions, books, annotated paper, notes, cheat sheets etc etc related to ML,AI, Deep Learning and Data Sc…☆118Updated 2 months ago
- Educational materials on deep learning by Weights & Biases☆643Updated 10 months ago
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024☆247Updated last year
- This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried …☆120Updated last year
- How to serve ML predictions 100x faster☆59Updated last year
- Code files for advanced LLM Course☆215Updated last year
- Deep Learning Fundamentals -- Code material and exercises☆397Updated last year
- AI algorithms☆141Updated last year
- All the projects related to Llama☆380Updated 7 months ago
- Practical guide to build end-to-end machine learning pipeline and deploy your model in production,☆73Updated 2 years ago
- Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!☆433Updated 11 months ago
- This playlab encompasses a multitude of projects crafted through the utilization of Large Language Models, showcasing the versatility and…☆134Updated 3 months ago
- Practical LangChain tutorials for LLM applications development☆198Updated last month
- Everything about LLMs in production.☆77Updated last year
- Large language Models (LLM)☆468Updated 4 months ago
- ☆154Updated last year
- Real-time Feature Pipelines in Python ⚡☆283Updated last year
- Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data …☆70Updated 2 years ago
- Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Nu…☆49Updated 9 months ago
- Machine Learning for Imbalanced Data, published by Packt☆277Updated last week
- A template to kick-start your Python project ✨🚀☆53Updated 3 months ago
- Following emerging Large Language Model Operations (LLM Ops) best practices in the industry, you’ll learn all about the key technologies …☆283Updated last year
- 💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML☆139Updated 8 months ago
- Deep Learning for Computer Vision☆59Updated last year
- Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)☆145Updated 2 years ago
- Various projects using Large Language Model (GPT & LLAMA) other open source model from HuggingFace and OpenAI. OpenAI API required for ru…☆106Updated 3 months ago
- LLM (Large Language Model) FineTuning☆564Updated 7 months ago
- Master list of curated resources on NLP and LLMs☆145Updated last year
- ☆125Updated 9 months ago
- LLM Engineering CrashCourse☆102Updated last year