123-code's Stars
xai-org/grok-1
Grok open release
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
suno-ai/bark
🔊 Text-Prompted Generative Audio Model
OpenDevin/OpenDevin
🐚 OpenDevin: Code Less, Make More
karpathy/LLM101n
LLM101n: Let's build a Storyteller
meta-llama/llama3
The official Meta Llama 3 GitHub site
HeyPuter/puter
🌐 The Internet OS! Free, Open-Source, and Self-Hostable.
karpathy/llm.c
LLM training in simple, raw C/CUDA
hpcaitech/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
ml-explore/mlx
MLX: An array framework for Apple silicon
KindXiaoming/pykan
Kolmogorov Arnold Networks
exo-explore/exo
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
ml-explore/mlx-examples
Examples in the MLX framework
camel-ai/camel
🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org
princeton-nlp/tree-of-thought-llm
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
dreamgaussian/dreamgaussian
[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation
karpathy/build-nanogpt
Video+code lecture on building nanoGPT from scratch
argmaxinc/WhisperKit
On-device Speech Recognition for Apple Silicon
togethercomputer/MoA
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
google-deepmind/mctx
Monte Carlo tree search in JAX
iruletheworldmo/strawberry
🍓🍓🍓
OSU-NLP-Group/Mind2Web
[NeurIPS'23 Spotlight] "Mind2Web: Towards a Generalist Agent for the Web"
open-thought/system-2-research
System 2 Reasoning Link Collection
EZ-hwh/AutoCrawler
Official implement of paper "AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation"
rabbitscam/rabbitr1
andreinechaev/nvcc4jupyter
A plugin for Jupyter Notebook to run CUDA C/C++ code
foersterrobert/AlphaZeroFromScratch
ToluClassics/mlx-transformers
MLX Transformers is a library that provides model implementation in MLX. It uses a similar model interface as HuggingFace Transformers and provides a way to load and run models in Apple Silicon devices.
AIAnytime/Fine-Tuning-Multimodal-LLM
Fine Tuning Multimodal LLM "Idefics 9B" on Pokemon Go Dataset available on Hugging Face.