frederickayala

frederickayala's Stars

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.2k948243.7k

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++16.6k142522950

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.3k457503.7k

• lucidrains/imagen-pytorch

  Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

  Language:Python8k114300758

• itcharge/LeetCode-Py

  ⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。

  Language:Python5.8k39161.1k

• rlcode/reinforcement-learning

  Minimal and Clean Reinforcement Learning Examples

  Language:Python3.4k12754725

• WassimTenachi/PhySO

  Physical Symbolic Optimization

  Language:Python1.8k3844249

• openai/sparse_attention

  Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

  Language:Python1.5k4510192

• facebookexperimental/Robyn

  Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

  Language:Jupyter Notebook1.1k60720334

• firmai/python-business-analytics

  Python solutions to solve practical business problems.

  Language:Jupyter Notebook463350175

• awslabs/graphstorm

  Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

  Language:Python3621325958

• chancefocus/PIXIU

  This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

  Language:Python3226630

• banditml/offline-policy-evaluation

  Implementations and examples of common offline policy evaluation methods in Python.

  Language:Python2197624

• guilgautier/DPPy

  Python toolbox for sampling Determinantal Point Processes

  Language:Python219154852

• ESeufert/theseus_growth

  Theseus is a Python library for cohort analysis

  Language:Jupyter Notebook18311626

• alessiamarcolini/deep-learning_best-practices

  10616014

• world-federation-of-advertisers/cross-media-measurement

  Language:Kotlin34819211

• Melinda315/4SDrug

  Language:Python26233

• erdos/cogent

  a small theorem prover in clojure

  Language:Clojure18401

• xmzzyo/LTV-prediction

  Language:Python10112

• gpschool/gpschool.github.io

  Language:Jupyter Notebook91806

• Softcatala/conjugador

  conjugador

  Language:Python710233

• chancefocus/finance_benchmark

  the benchmark for finance

  6201

• holoviz-demos/gapminder

  Language:Jupyter Notebook6219

• aurbac/aws-react-amplify

  5004

• mvsoom/gpss20-notes

  Lecture notes for days 1-3 of the Gaussian Process Summer School 2020

  3100

• aslayci/qtm

  Query the model

  Language:C++23

• kevin-q2/diffusion_nmf

  A modified version of non-negative matrix factorization that accounts for a diffusion process between features in the data.

  Language:Python2200

• aurbac/cdk-ecs-two-fargate-services

  Language:TypeScript1202

• suhastheju/diversity-aware-clustering

  Language:Python1200