henrywallace's Stars
docker/awesome-compose
Awesome Docker Compose samples
jart/cosmopolitan
build-once run-anywhere c library
KindXiaoming/pykan
Kolmogorov Arnold Networks
plandex-ai/plandex
AI driven development in your terminal. Designed for large, real-world tasks.
HypothesisWorks/hypothesis
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
Unstructured-IO/unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
merbanan/rtl_433
Program to decode radio transmissions from devices on the ISM bands (and other frequencies)
jina-ai/reader
Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/
Haxxnet/Compose-Examples
Various Docker Compose examples of selfhosted FOSS and proprietary projects.
stanford-oval/storm
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
wireviz/WireViz
Easily document cables and wiring harnesses.
Codium-ai/cover-agent
CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞
sirupsen/napkin-math
Techniques and numbers for estimating system's performance from first-principles
huggingface/evaluate
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
darrenburns/elia
A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more.
openai/simple-evals
jondurbin/airoboros
Customizable implementation of the self-instruct paper.
mustafaaljadery/gemma-2B-10M
Gemma 2B with 10M context length using Infini-attention.
vakuum/tcptunnel
A simple TCP port forwarder.
tailscale/caddy-tailscale
A highly experimental exploration of integrating Tailscale and Caddy.
normal-computing/posteriors
Uncertainty quantification with PyTorch
justinchiu/openlogprobs
Extract full next-token probabilities via language model APIs
say4n/jf
flatten them json
asahi417/lmppl
Calculate perplexity on a text with pre-trained language models. Support MLM (eg. DeBERTa), recurrent LM (eg. GPT3), and encoder-decoder LM (eg. Flan-T5).
TutteInstitute/evoc
Embedding Vector Oriented Clustering
Jerry-Master/KAN-benchmarking
Benchmark for efficiency in memory and time of different KAN implementations.
caddyserver/gateway
Kubernetes Gateway API implementation powered by Caddy
samber/hot
🌶️ In-memory caching library for Go
microsoft/mechanistic-error-probe
A mechanistic approach for understanding and detecting factual errors of large language models.
hrishioa/tough-llm-tests
Some tough questions to test new models.