Chad Brewbaker (chadbrewbaker)

chadbrewbaker

Geek Repo

Company:Flying Dog Solutions

Location:Waukee, IA

Home Page:https://chadbrewbaker.github.io

Twitter:@SMT_Solvers

Github PK Tool:Github PK Tool

Chad Brewbaker's repositories

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BonsaiTrie

A generator for Trie, Tree, and Heaplike data structures.

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dspy

DSPy: The framework for programming—not prompting—foundation models

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dspygen

A Ruby on Rails style framework for the DSPy (Demonstrate, Search, Predict) project for Language Models like GPT, BERT, and LLama.

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llama.cpp

Port of Facebook's LLaMA model in C/C++

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llm.c

LLM training in simple, raw C/CUDA

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PruningRadixTrie

PruningRadixTrie - 1000x faster Radix trie for prefix search & auto-complete

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sqlite

Official Git mirror of the SQLite source tree

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AArch64_Assembly

All Algorithms implemented in AArch64 Assembly

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Awesome-GPT-Agents

A curated list of GPT agents for cybersecurity

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chadsolver

Mojo port of some cusolver

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Code-used-on-Daniel-Lemire-s-blog

This is a repository for the code posted on my blog

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coreutils

Cross-platform Rust rewrite of the GNU coreutils

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egg

egg is a flexible, high-performance e-graph library

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gnu-superopt

The GNU Superoptimizer

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htmx

</> htmx - high power tools for HTML

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KonmariDamacy

Spark joy by removing features.

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linux-kernel-vscode

Reference setup for Linux kernel development in VSCode

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llama_htmx

LlamaHTMX (formerly Llama Index) is a data framework for your LLM applications

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lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

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PowerInfer

High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

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scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

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simple-saca

Hardware go brrr bounded context suffix array construction algorithm

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sufraw

Surfraw - Shell Users' Revolutionary Front Rage Against the Web

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unsloth

2-5X faster 70% less memory QLoRA & LoRA finetuning

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VClinic

A portable and efficient infrastracture for value profilers. Doc: https://vclinic.readthedocs.io/en/latest/index.html

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