ricalanis

ricalanis's Stars

• OpenInterpreter/open-interpreter

  A natural language interface for computers

  Language:Python57.8k4239935k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  31k2.6k01.7k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda25k2521412.8k

• exo-explore/exo

  Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚

  Language:Python18.5k1403391k

• HigherOrderCO/Bend

  A massively parallel, high-level programming language

  Language:Rust17.9k102264439

• virgili0/Virgilio

  Your new Mentor for Data Science E-Learning.

  Language:Jupyter Notebook14k788442.5k

• Sinaptik-AI/pandas-ai

  Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

  Language:Python14k1137711.4k

• ShishirPatil/gorilla

  Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

  Language:Python11.7k972781k

• Doriandarko/claude-engineer

  Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks.This framework enables Claude to generate and manage its own tools, continuously expanding its capabilities through conversation. Available both as a CLI and a modern web interface

  Language:Python10.6k1441371.1k

• SakanaAI/AI-Scientist

  The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

  Language:Jupyter Notebook8.6k1071201.2k

• AnswerDotAI/gpu.cpp

  A lightweight library for portable low-level GPU computation using WebGPU.

  Language:C++3.8k4824177

• e2b-dev/fragments

  Open-source Next.js template for building apps that are fully generated by AI. By E2B.

  Language:TypeScript3.7k3258491

• HermanMartinus/bearblog

  Free, no-nonsense, super fast blogging.

  Language:CSS3k1527586

• karpathy/makemore

  An autoregressive character-level language model for making more things

  Language:Python2.7k3311706

• EurekaLabsAI/ngram

  The n-gram Language Model

  Language:C1.4k51093

• damiafuentes/DJITelloPy

  DJI Tello drone python interface using the official Tello SDK. Feel free to contribute!

  Language:Python1.3k64182499

• stanford-crfm/mistral

  Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging Face 🤗 Transformers.

  Language:Python567169649

• EurekaLabsAI/micrograd

  The Autograd Engine

  Language:HTML54914154

• EurekaLabsAI/mlp

  The Multilayer Perceptron Language Model

  Language:Python53220146

• strnad/CrewAI-Studio

  A user-friendly, multi-platform GUI for managing and running CrewAI agents and tasks. Supports Conda and virtual environments, no coding needed.

  Language:Python4961712121

• EurekaLabsAI/tensor

  The Tensor (or Array)

  Language:Python4188341

• m3dev/gokart

  Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.

  Language:Python319428260

• deep-diver/llamaduo

  This project showcases an LLMOps pipeline that fine-tunes a small-size LLM model to prepare for the outage of the service LLM.

  Language:Jupyter Notebook2949829

• yilundu/cross_attention_renderer

  CVPR 2023: Learning to Render Novel Views from Wide-Baseline Stereo Pairs

  Language:Python14041111

• expz/quiet-star

  Implementation of the Quiet-STAR paper (https://arxiv.org/pdf/2403.09629.pdf)

  Language:Python47212

• lks-ai/ibis

  Ibis is a Hands-Free Interactive Web Page. Using the latest generative AI, it can be Any Page.

  Language:HTML19302

• glaive-ai/reflection_70b_training

  Language:Python184

• ericblue/knowledge-graph-llm-links

  A collection of interesting links, articles, research papers and projects related to knowledge graphs, GenAI and LLMs (large language models)

  7101

• glaive-ai/simple-evals

  Language:Python7005

• stefmolin/getting-started-with-open-source-talk

  Slides for my talk "Getting Started with Open Source Contributions"

  Language:HTML110