MartinHjelm

MartinHjelm's Stars

• OpenBMB/XAgent

  An Autonomous LLM Agent for Complex Task Solving

  Language:Python8.2k849

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook66k33.9k

• udlbook/udlbook

  Understanding Deep Learning - Simon J.D. Prince

  Language:Jupyter Notebook6.7k1.4k

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook36.1k4.5k

• OpenInterpreter/open-interpreter

  A natural language interface for computers

  Language:Python57.5k4.9k

• mit-han-lab/streaming-llm

  [ICLR 2024] Efficient Streaming Language Models with Attention Sinks

  Language:Python6.7k374

• arc53/DocsGPT

  Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge sharing and integrates knowledge into your AI workflow

  Language:Python15.2k1.6k

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python32.5k5k

• OpenBMB/ChatDev

  Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

  Language:Shell26k3.3k

• tallguyjenks/fla.sh

  💥 flashcards in your terminal

  Language:Shell15421

• guipsamora/pandas_exercises

  Practice your pandas skills!

  Language:Jupyter Notebook11k8.3k

• Kautenja/playing-mario-with-deep-reinforcement-learning

  An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

  Language:Jupyter Notebook7012

• yandexdataschool/Practical_RL

  A course in reinforcement learning in the wild

  Language:Jupyter Notebook6k1.7k

• hse-aml/intro-to-dl

  Resources for "Introduction to Deep Learning" course.

  Language:Jupyter Notebook759717

• colinskow/move37

  Coding Demos from the School of AI's Move37 Course

  Language:Python184117

• Rachnog/disentanglment

  Experiments with beta-VAE to learn disentangled representations from the data

  Language:Jupyter Notebook6523

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  3.1k465

• reitzig/ltx2any

  Yet another LaTeX build wrapper, with one or two nifty features

  Language:Ruby594

• mb21/atom-markdown-editor-simple-style

  Basic CSS for Atom when editing markdown files, extends installed syntax-theme

  Language:CSS23

• dbader/photosorter

  A little Python daemon to keep my photos organized on Dropbox.

  Language:Python7520

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38.5k7.3k

• stan-dev/stan

  Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

  Language:C++2.6k371

• alexbr/movescount-batch-exporter

  A batch move exporter for the the activity site movescount.com (suunto devices).

  Language:JavaScript208

• Moeditor/Moeditor

  (discontinued) Your all-purpose markdown editor.

  Language:JavaScript4.1k276

• LouisFoucard/DepthMap_dataset

  Python Blender script to generate random scene, depth map and corresponding Stereo images for machine learning.

  Language:Python17244

• aghasemi/BlenderMultiCameraSceneGenerator

  Python scripts and model to create arbitrary scenes with various types of camera motion using blender

  Language:Python62

• acgessler/open3mod

  Open 3D Model Viewer - A quick and powerful 3D model viewer

  Language:C#1.1k261

• tinyobjloader/tinyobjloader

  Tiny but powerful single file wavefront obj loader

  Language:C++3.4k610

• AndrewHazelden/PLYmesher

  PLYmesher is a collection of bash scripts and MeshLab .mlx filter scripts that are used to create possion based reconstructions of .PLY formatted point clouds.

  Language:Shell233

• qknight/libnoise

  this is a fork of libnoise which changes the build system from static Makefiles to cmake

  Language:C++12248