RubenBSB

RubenBSB's Stars

• murphye/cheap-gke-cluster

  How to Run a GKE Cluster on the Cheap

  Language:HCL22639

• character-ai/MuKoe

  Language:Python506

• arpitingle/gpu-alpha

  High Quality Resources on GPU Programming/Architecture

  56617

• kyegomez/Gemini

  The open source implementation of Gemini, the model that will "eclipse ChatGPT" by Google

  Language:Python41653

• HazyResearch/ThunderKittens

  Tile primitives for speedy kernels

  Language:Cuda1.5k58

• shashikg/WhisperS2T

  An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine

  Language:Jupyter Notebook28929

• deepset-ai/haystack

  :mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

  Language:Python17k1.9k

• gpu-mode/resource-stream

  GPU programming related news and material links

  1.2k70

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda23.8k2.7k

• siboehm/SGEMM_CUDA

  Fast CUDA matrix multiplication from scratch

  Language:Cuda44061

• google/python-fire

  Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

  Language:Python26.9k1.4k

• cruip/tailwind-landing-page-template

  Simple Light is a free landing page template built on top of TailwindCSS and fully coded in React / Next.js. Made by

  Language:TypeScript3.7k1.5k

• NVIDIA/TensorRT-LLM

  TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

  Language:C++8.4k939

• rwitten/HighPerfLLMs2024

  Language:Python21317

• microsoft/onnxruntime

  ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

  Language:C++14.3k2.9k

• lucidrains/triton-transformer

  Implementation of a Transformer, but completely in Triton

  Language:Python24214

• HazyResearch/aisys-building-blocks

  Building blocks for foundation models.

  36913

• AssemblyAI/cookbook

  A resource of code examples, guides, and tutorials for using the AssemblyAI API.

  Language:Jupyter Notebook863

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++65.9k9.5k

• karpathy/llama2.c

  Inference Llama 2 in one file of pure C

  Language:C17.3k2.1k

• AssemblyAI/assemblyai-python-sdk

  AssemblyAI's Official Python SDK

  Language:Python13916

• activeloopai/deeplake

  Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

  Language:Python8.1k619

• AssemblyAI/assemblyai-cli

  CLI for the AssemblyAI API

  Language:Go19127

• aws-samples/mlops-amazon-sagemaker

  Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker

  Language:Jupyter Notebook293126

• Textualize/rich

  Rich is a Python library for rich text and beautiful formatting in the terminal.

  Language:Python49.1k1.7k

• Dongdongshe/neuzz

  neural network assisted fuzzer

  Language:C396106

• smellslikekeenspirit/an-askreddit-list-of-compsci-books

  books and resources loved by r/learnprogramming community, compiled by me, a lurker who kept track

  Language:Shell959

• ashleve/lightning-hydra-template

  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

  Language:Python4.1k643

• pytorch/nestedtensor

  [Prototype] Tools for the concurrent manipulation of variably sized Tensors.

  Language:Jupyter Notebook25228

• facebookresearch/hydra

  Hydra is a framework for elegantly configuring complex applications

  Language:Python8.7k625