mtkwT

mtkwT's Stars

• goodfeli/dlbook_notation

  LaTeX files for the Deep Learning book notation

  Language:TeX1.7k359

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.8k360

• yandexdataschool/nlp_course

  YSDA course in Natural Language Processing

  Language:Jupyter Notebook10k2.6k

• zanarashidi/AMoC

  Adaptive Momentum Coefficient for Neural Network Optimization

  Language:Python1

• activeloopai/deeplake

  Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

  Language:Python8.4k646

• avehtari/BDA_course_Aalto

  Bayesian Data Analysis course at Aalto

  Language:TeX2.2k559

• atkinssamuel/gd-vs-sgd

  This project includes an implementation of gradient descent and stochastic descent for the minimization of the least squares loss function. It also includes an implementation of these algorithms for the minimization of the negative logarithmic-likelihood function.

  Language:Python1

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  14.3k1.4k

• sebastianruder/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python22.8k3.6k

• jettify/pytorch-optimizer

  torch-optimizer -- collection of optimizers for Pytorch

  Language:Python3.1k300

• renyiryry/kbfgs_neurips2020_public

  Language:Jupyter Notebook219

• IST-DASLab/WoodFisher

  Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)

  Language:Python486

• fastmachinelearning/hls4ml-tutorial

  Tutorial notebooks for hls4ml

  Language:Jupyter Notebook317141

• gkdziugaite/pacbayes-opt

  Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights

  Language:Python277

• nttcom/remote-work-handbook

  リモートワークハンドブックのソースコード

  Language:HTML847

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python16.1k4.9k

• Zhen-Dong/HAWQ

  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

  Language:Python42781

• xingchenwan/MLRG_DeepCurvature

  Language:Jupyter Notebook152

• tfjgeorge/nngeometry

  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch

  Language:Python21122

• posquit0/Awesome-CV

  :page_facing_up: Awesome CV is LaTeX template for your outstanding job application

  Language:TeX23.9k4.9k

• jhuangtw/xg2xg

  by ex-googlers, for ex-googlers - a lookup table of similar tech & services

  14.8k1.1k

• drken1215/book_algorithm_solution

  拙著「問題解決力を鍛える!アルゴリズムとデータ構造」の補足資料。ソースコードと、章末問題への略解を掲載。

  Language:C++831105

• mariogeiger/hessian

  hessian in pytorch

  Language:Python18617

• HiroshiHamada/BMS

  『社会科学のためのベイズ統計モデリング』サポーサイト

  Language:R282

• mtkwT/Hessian-analysis-with-tensotflow2.x

  Some Hessian based analysis for practical deep models with tensorflow2

  Language:Python2

• noahgolmant/pytorch-hessian-eigenthings

  Efficient PyTorch Hessian eigendecomposition tools!

  Language:Python37043

• ikegami-yukino/neologdn

  Japanese text normalizer for mecab-neologd

  Language:Cython27819

• WorksApplications/SudachiPy

  Python version of Sudachi, a Japanese tokenizer.

  Language:Python40251

• fbdesignpro/sweetviz

  Visualize and compare datasets, target values and associations, with one line of code.

  Language:Python3k280

• upura/python-kaggle-start-book

  『PythonではじめるKaggleスタートブック』のサンプルコード・脚注・正誤表

  Language:Jupyter Notebook389179