gkteco

gkteco's Stars

• codelion/optillm

  Optimizing inference proxy for LLMs

  Language:Python93891

• Techolution/GenUI

  An example of using a language model to select react components dynamically based on user queries

  Language:TypeScript5

• pytorch/executorch

  On-device AI across mobile, embedded and edge for PyTorch

  Language:C++1.9k307

• pytorch/torchchat

  Run PyTorch LLMs locally on servers, desktop and mobile

  Language:Python3.2k205

• tdelesio/spearhead

  Language:TypeScript2

• Techolution/LazyLM

  A prompting framework for getting foundational models to “lazily” evaluate their reasoning trace

  Language:Jupyter Notebook7

• gkteco/blog

  My Blog

  Language:Jupyter Notebook1

• LadybirdBrowser/ladybird

  Truly independent web browser

  Language:C++20.2k833

• AnswerDotAI/fasthtml

  The fastest way to create an HTML app

  Language:Jupyter Notebook5.2k216

• meta-llama/llama-stack-apps

  Agentic components of the Llama Stack APIs

  Language:Python3.6k468

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook93k14.9k

• srush/Tensor-Puzzles

  Solve puzzles. Improve your pytorch.

  Language:Jupyter Notebook3.2k264

• rougier/numpy-100

  100 numpy exercises (with solutions)

  Language:Python12k5.7k

• tensorflow/io

  Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO

  Language:C++702281

• openxla/community

  Stores documents and resources used by the OpenXLA developer community

  10623

• statmike/vertex-ai-mlops

  Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

  Language:Jupyter Notebook494221

• ageron/handson-ml3

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook7.5k3k

• gkteco/fastai-pytorch-walkthroughs

  Language:Jupyter Notebook1

• Crossing-Minds/shopping-queries-image-dataset

  11

• gkteco/feel-the-agi

  Hacker's guide list of resources for learning deep learning and becoming a power user

  1

• facebookresearch/CodeGen

  Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.

  Language:Python708144

• facebookresearch/TransCoder

  Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf

  Language:Python1.7k258

• fastai/fastai

  The fastai deep learning library

  Language:Jupyter Notebook26.2k7.5k

• triton-lang/triton

  Development repository for the Triton language and compiler

  Language:C++12.9k1.6k

• openai/requests-for-research

  A living collection of deep learning problems

  Language:HTML1.7k609

• stefanrmmr/streamlit-audio-recorder

  Record Audio from the User's Microphone in Apps that are Deployed to the Web. (via Browser Media-API, REACT-based, Streamlit Custom Component)

  Language:TypeScript42976

• gkteco/crawlerjs

  A simple utility for transforming .md files to vector embeddings with metadata

  Language:TypeScript3

• jxnl/instructor

  structured outputs for llms

  Language:Python7.7k612

• meta-llama/PurpleLlama

  Set of tools to assess and improve LLM security.

  Language:Python2.6k432

• meta-llama/codellama

  Inference code for CodeLlama models

  Language:Python15.9k1.9k