bburgs's Stars
Shamslux/DataEngineering
Repository containing projects and summaries of my studies in the field of Data Engineering.
DataExpert-io/data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
huggingface/data-is-better-together
Let's build better datasets, together!
karpathy/llm.c
LLM training in simple, raw C/CUDA
armankhondker/best-leetcode-resources
This repository contains resources for technical coding interviews.
VikParuchuri/textbook_quality
Generate textbook-quality synthetic LLM pretraining data
VikParuchuri/libgen_to_txt
Convert all of libgen to high quality markdown
intel/intel-extension-for-transformers
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
aymericdamien/TopDeepLearning
A list of popular github projects related to deep learning
rstudio/bookdown
Authoring Books and Technical Documents with R Markdown
JShollaj/awesome-llm-interpretability
A curated list of Large Language Model (LLM) Interpretability resources.
state-spaces/mamba
Mamba SSM architecture
epfLLM/meditron
Meditron is a suite of open-source medical Large Language Models (LLMs).
enfiskutensykkel/cv
PostgREST/postgrest
REST API for any Postgres database
apoorvumang/prompt-lookup-decoding
hao-ai-lab/LookaheadDecoding
[ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
o1brad/peatbot-data
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
cocktailpeanut/dalai
The simplest way to run LLaMA on your local machine
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
microsoft/ELL
Embedded Learning Library
percyliang/cs229t
Statistical Learning Theory (CS229T) Lecture Notes
tinygrad/tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️
mit-han-lab/tinyengine
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory