ffyoko

ffyoko's Stars

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook9.7k97653954

• OpenBMB/MiniCPM

  MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.

  Language:Jupyter Notebook7k74205439

• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5k84394771

• jaymody/picoGPT

  An unnecessarily tiny implementation of GPT-2 in NumPy.

  Language:Python3.2k2811412

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  2.9k1089442

• matheusfacure/python-causality-handbook

  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

  Language:Jupyter Notebook2.7k41270467

• tczhangzhi/pytorch-distributed

  A quickstart and benchmark for pytorch distributed training.

  Language:Python1.6k1720296

• lessw2020/Ranger-Deep-Learning-Optimizer

  Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase

  Language:Python1.2k3643176

• Ma-Lab-Berkeley/CRATE

  Code for CRATE (Coding RAte reduction TransformEr).

  Language:Python1.2k212296

• FenTechSolutions/CausalDiscoveryToolbox

  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

  Language:Python1.1k36143197

• isl-org/MultiObjectiveOptimization

  Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

  Language:Python9772043171

• autoliuweijie/K-BERT

  Source code of K-BERT (AAAI2020)

  Language:Python9511688213

• gzerveas/mvts_transformer

  Multivariate Time Series Transformer, public version

  Language:Python750367173

• zhihanyue/ts2vec

  A universal time series representation learning framework

  Language:Python593642143

• Snowdar/asv-subtools

  An Open Source Tools for Speaker Recognition

  Language:Python5922152135

• White-Link/UnsupervisedScalableRepresentationLearningTimeSeries

  Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

  Language:Jupyter Notebook393182793

• mit-han-lab/offsite-tuning

  Offsite-Tuning: Transfer Learning without Full Model

  Language:Python36681037

• emadeldeen24/TS-TCC

  [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

  Language:Python35763399

• cornell-zhang/GraphZoom

  GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding

  Language:Python112101715

• akhtarshahnawaz/multiprocesspandas

  Adds multiprocessing capabilities to Pandas to parallelize apply operations on DataFrames, Series and DataFrameGroupBy

  Language:Python7621312

• Serena-TT/36-methods-for-data-analysis

  Language:Jupyter Notebook362010

• AIflowerQ/InvPref_KDD_2022

  KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation

  Language:Python21115

• fmc123653/Graph-Neural-Network

  Language:Python17103

• aaronwtr/cfrnet-reproduction

  Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causal inference.

  Language:Python12114

• alex4321/forecastxgb-py

  Language:Jupyter Notebook6203

• jpfalet/ms-predictive-enrichment

  Code for the paper by Falet et al. (2022) "Estimating treatment effect for individuals with progressive multiple sclerosis using deep learning"

  Language:Python5102

• ant-research/Ant-Debiased-Causal-Tree

  Language:C++4102

• ziyuanzhao2000/TNC_TS_baseline

  A modification of the TNC model from "UNSUPERVISED REPRESENTATION LEARNING FOR TIME SERIES WITH TEMPORAL NEIGHBORHOOD CODING" for baseline results to be used in our study

  Language:Python3100

• tnwei/parapply

  A simple drop-in replacement for pandas `apply()`, parallelized using `joblib`.

  Language:Python2200

• yasab27/TimeSeriesEmbedding

  PyTorch implementation of "Unsupervised Scalable Representation Learning for Multivariate Time Series" by Franceschi, Dieuleveut, and Jaggi (2020) (https://arxiv.org/pdf/1901.10738v4.pdf).

  Language:Python10