alexandres

alexandres's Stars

• hoppscotch/hoppscotch

  Open source API development ecosystem - https://hoppscotch.io (open-source alternative to Postman, Insomnia)

  Language:TypeScript64.2k4761.6k4.4k

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python36.5k3713155.8k

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python19.9k255722.5k

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.6k715263.9k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python12.7k1015131.1k

• artidoro/qlora

  QLoRA: Efficient Finetuning of Quantized LLMs

  Language:Jupyter Notebook10k84248820

• adityatelange/hugo-PaperMod

  A fast, clean, responsive Hugo theme.

  Language:HTML9.7k435392.6k

• karpathy/minbpe

  Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

  Language:Python9.1k8336838

• SJTU-IPADS/PowerInfer

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

  Language:C++7.9k77161407

• marimo-team/marimo

  A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

  Language:Python6.6k34649225

• rsalmei/alive-progress

  A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!

  Language:Python5.5k48229207

• promptfoo/promptfoo

  Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

  Language:TypeScript4.4k19634324

• apple/ml-mgie

  Language:Python3.8k610253

• EricLBuehler/mistral.rs

  Blazingly fast LLM inference.

  Language:Rust3.6k31242255

• kevin1024/vcrpy

  Automatically mock your HTTP interactions to simplify and speed up testing

  Language:Python2.7k38401387

• eric-mitchell/direct-preference-optimization

  Reference implementation for DPO (Direct Preference Optimization)

  Language:Python2.1k1981167

• GeostatsGuy/DataScienceInteractivePython

  Python interactive dashboards for learning data science

  Language:Jupyter Notebook702215129

• betamaxpy/betamax

  A VCR imitation designed only for python-requests.

  Language:Python5671911762

• philoskim/debux

  A trace-based debugging library for Clojure and ClojureScript.

  Language:Clojure471182019

• Toloka/crowd-kit

  Control the quality of your labeled data with the Python tools you already know.

  Language:Python211132115

• ejolly/pymer4

  All the convenience of lme4 in python

  Language:Python192610926

• IBM/fastfit

  FastFit ⚡ When LLMs are Unfit Use FastFit ⚡ Fast and Effective Text Classification with Many Classes

  Language:Python18251513

• jakespringer/echo-embeddings

  Language:Python118227

• rm-hull/infix

  A Clojure library for expressing LISP expressions as infix rather than prefix notation

  Language:Clojure10653412

• falcony-io/ml-annotate

  Use ML-Annotate to label data for machine learning purposes

  Language:Python1045125

• vithursant/nanoGPT_mlx

  Port of Andrej Karpathy's nanoGPT to Apple MLX framework.

  Language:Python96547

• A-Herzog/Callcenter-Simulator

  Callcenter Simulator is a free, platform-independent program for the analysis of staffing requirements in a call center. The simulator uses event-oriented, stochastic simulation for the computation of the parameters.

  Language:Java24439

• rycolab/paired-perm-test

  Exact paired permutation significance test for accuracy

  Language:Python13510

• Woody5962/Ranked-List-Truncation

  A framework for Ranked List Truncation, including the implementation of multiple existing deep models, such as BiCut、Choopy and AttnCut. And we propose the multi-task model based on these models.

  Language:Jupyter Notebook12211

• 18780047285/DQN

  Dynamic routing policies for multi-skill call centers using Deep Q Network

  Language:Python110