Alternatives and similar repositories for cuda-mode

Users that are interested in cuda-mode are comparing it to the libraries listed below

• ThinamXx / Meta-llama
  Complete implementation of Llama2 with/without KV cache & inference 🚀
  ☆48Updated last year
• rasbt / RAGs
  RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems
  ☆135Updated 9 months ago
• ariG23498 / fine-tune-paligemma
  Notebooks for fine tuning pali gemma
  ☆117Updated 6 months ago
• deshwalmahesh / DataScience-StudyMaterial
  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
• Nyandwi / deep-computer-vision
  Deep Learning for Computer Vision
  ☆59Updated last year
• hkproj / multi-latent-attention
  ☆45Updated 5 months ago
• alexander-moore / vlm
  Composition of Multimodal Language Models From Scratch
  ☆15Updated last year
• rasbt / cvpr2023
  ☆134Updated 2 years ago
• ThinamXx / Transformers_NLP
  The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformer…
  ☆73Updated last year
• ThinamXx / build-GPT
  Building GPT ...
  ☆18Updated 11 months ago
• PacktPublishing / Pretrain-Vision-and-Large-Language-Models-in-Python
  Pretrain Vision and Large Language Models in Python, Published by Packt
  ☆88Updated last year
• ariG23498 / gemma3-object-detection
  Fine tune Gemma 3 on an object detection task
  ☆87Updated 3 months ago
• NSTiwari / PaliGemma
  This repository contains examples of using PaliGemma for tasks such as object detection, segmentation, image captioning, etc.
  ☆23Updated 8 months ago
• Sayandip170900 / CUDA-Challenge
  100 Days of GPU Challenge
  ☆23Updated 2 months ago
• aniket-mish / distributed-ml-system
  a distributed end-to-end image classification system using kubernetes
  ☆13Updated 10 months ago
• springer-llms-deep-dive / llms-deep-dive-tutorials
  ☆144Updated last year
• anyscale / e2e-llm-workflows
  Fine-tune an LLM to perform batch inference and online serving.
  ☆113Updated 5 months ago
• Sakil786 / -meta_llama_2finetuned_text_generation_summarization
  meta_llama_2finetuned_text_generation_summarization
  ☆21Updated 2 years ago
• ashishpatel26 / llm-course
  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
  ☆17Updated last year
• merveenoyan / awesome-osml-for-devs
  List of resources, libraries and more for developers who would like to build with open-source machine learning off-the-shelf
  ☆198Updated last year
• ashishpatel26 / Computer-Vision-Industry-Use-Cases
  Computer Vision Industry Use Cases
  ☆75Updated 2 months ago
• rasbt / faster-pytorch-blog
  Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy
  ☆129Updated 2 years ago
• ashishpatel26 / CVPR2024
  CVPR 2024 Research Paper with Code
  ☆48Updated last year
• ThinamXx / MLOps
  The repository contains a list of projects which I will work on while learning and implementing MLOps.
  ☆79Updated 2 years ago
• ashishpatel26 / ai-tutor-rag-system
  This is a repository for the course "From Beginner to LLM Developer" by Towards AI.
  ☆11Updated 10 months ago
• ashishpatel26 / Awesome-MLOps-Course-Outline
  Awesome MLOps Course Outline
  ☆36Updated 2 years ago
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated last month
• tcapelle / llm_recipes
  A set of scripts and notebooks on LLM finetunning and dataset creation
  ☆110Updated last year
• AviSoori1x / seemore
  From scratch implementation of a vision language model in pure PyTorch
  ☆246Updated last year
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆35Updated last month