yrstartrain

yrstartrain's Stars

• lancedb/lance

  Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

  Language:Rust3.6k195

• DAGWorks-Inc/hamilton

  Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

  Language:Jupyter Notebook1.6k96

• stitchfix/hamilton

  A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton

  Language:Python86538

• flyteorg/flyte

  Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

  Language:Go5.3k557

• cleanlab/cleanlab

  The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

  Language:Python9.2k713

• sudy-super/AutoMATA

  Tools to implement active inferring and pseudo-consciousness in LLM

  Language:Python1107

• CASIA-IVA-Lab/AnomalyGPT

  [AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

  Language:Python70085

• Plachtaa/VALL-E-X

  An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io

  Language:Python7.5k740

• smly/mjai.app

  Mahjong game simulator for RiichiLab https://mjai.app

  Language:Rust527

• spotipy-dev/spotipy

  A light weight Python library for the Spotify Web API

  Language:Python4.9k955

• deepchecks/deepchecks

  Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

  Language:Python3.5k248

• aws-samples/aws-ml-jp

  SageMakerで機械学習モデルを構築、学習、デプロイする方法が学べるNotebookと教材集

  Language:Jupyter Notebook15141

• oreilly-japan/data-science-on-aws-jp

  Language:Jupyter Notebook9111

• DequanWang/tent

  ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization

  Language:Python33843

• The-Japan-DataScientist-Society/100knocks-preprocess

  データサイエンス100本ノック（構造化データ加工編）

  Language:HTML2.3k382

• Valkyrja3607/tuning_playbook_ja

  ディープラーニングモデルの性能を体系的に最大化するためのプレイブック

  1614

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML108k14.7k

• skillup-ai/tettei-engineer

  徹底攻略ディープラーニングE資格エンジニア問題集

  Language:Python3010

• sony/nnabla-rl

  Deep reinforcement learning library built on top of Neural Network Libraries

  Language:Python1167

• MubertAI/Mubert-Text-to-Music

  A simple notebook demonstrating prompt-based music generation via Mubert API

  Language:Jupyter Notebook2.7k243

• Jeff-sjtu/HybrIK

  Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021

  Language:Python1.2k143

• firmai/deltapy

  DeltaPy - Tabular Data Augmentation (by @firmai)

  Language:Jupyter Notebook53753

• JunlinHan/YOCO

  Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

  Language:Python10110

• nvedant07/STIR

  Implementation of ICML (Oral) 2022 paper "Measuring Representational Robustness of Neural Networks Through Shared Invariances"

  Language:Python6

• mingyuan-zhang/MotionDiffuse

  MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

  Language:Python81873