knivets's Stars
srush/GPU-Puzzles
Solve puzzles. Learn CUDA.
martinvonz/jj
A Git-compatible VCS that is both simple and powerful
AnswerDotAI/fasthtml
The fastest way to create an HTML app
ggerganov/llama.cpp
LLM inference in C/C++
nforest/awesome-decompilation
A curated list of awesome decompilation resources and projects.
simonw/llm
Access large language models from the command-line
AndrewWalsh/openapi-devtools
Browser extension that generates API specs for any app or website
danielgross/localpilot
a-b-street/abstreet
Transportation planning and traffic simulation software for creating cities friendlier to walking, biking, and public transit
fastai/lm-hackers
Hackers' Guide to Language Models
dokku/dokku
A docker-powered PaaS that helps you build and manage the lifecycle of applications
eugeneyan/open-llms
📋 A list of open LLMs available for commercial use.
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
pHaeusler/micro-agent
A tiny implementation of an autonomous agent powered by LLMs (OpenAI GPT-4)
deep-floyd/IF
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
nomic-ai/gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
lucidrains/toolformer-pytorch
Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
apple/ml-ane-transformers
Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
BlinkDL/RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
lllyasviel/ControlNet
Let us control diffusion models!
Unstructured-IO/unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
hwchase17/langchain-hub
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
openai/openai-cookbook
Examples and guides for using the OpenAI API
tinygrad/tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️