alexanderkudryashov3

alexanderkudryashov3's Stars

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.1k2452.6k3.3k

• overleaf/overleaf

  A web-based collaborative LaTeX editor

  Language:JavaScript14.5k2111.1k1.5k

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python6k38186675

• esokolov/ml-course-hse

  Машинное обучение на ФКН ВШЭ

  Language:Jupyter Notebook3.1k146991.1k

• adapter-hub/adapters

  A Unified Library for Parameter-Efficient and Modular Transfer Learning

  Language:Jupyter Notebook2.6k29394354

• state-spaces/s4

  Structured state space sequence models

  Language:Jupyter Notebook2.5k52139301

• KimMeen/Time-LLM

  [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

  Language:Python1.6k17154270

• WenjieDu/PyPOTS

  A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

  Language:Python1.2k13190120

• tinkoff-ai/CORL

  High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

  Language:Python1.1k1728135

• srush/annotated-s4

  Implementation of https://srush.github.io/annotated-s4

  Language:Python47492762

• liaoyuhua/LLM4TS

  Large Language & Foundation Models for Time Series.

  46415239

• bybit-exchange/pybit

  Official Python3 API connector for Bybit's HTTP and WebSockets APIs.

  Language:Python4529149140

• vincent-leguen/DILATE

  Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

  Language:Python372151773

• Tinkoff/invest-python

  Tinkoff Invest Python gRPC client

  Language:Python3192914088

• grinisrit/noa

  Differentiable Programming Algorithms in Modern C++

  Language:LLVM1374128

• rian-dolphin/stock-embeddings

  Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets

  Language:Jupyter Notebook672018

• PingChang818/TDSTF

  Language:Python661411

• imanolperez/market_simulator

  Market simulator

  Language:Jupyter Notebook587234

• r-isachenko/2022-2023-DGM-AIMasters-course

  Deep Generative Models course, AIMasters, 2022

  Language:Jupyter Notebook43304

• cmf-team/lecture-notes-2022

  LaTeX notes of CMF lectures made by cooperation of more than 140 students. Will be made public on November 10th.

  Language:TeX35603

• grinisrit/noa-atra

  Analytics for Trading with NOA

  Language:Kotlin26105

• KseniaKingsep/quantgan

  Quant GAN from [Wiese et al., Quant GANs: Deep Generation of Financial Time Series, 2019]

  Language:Jupyter Notebook20201

• RiskModellingResearch/DeepLearning_Autumn22

  Language:Jupyter Notebook20207

• JM-Kim-94/rl-pendulum

  Open AI Gym - Pendulum-v1 reinforcement learning (DQN, SAC)

  Language:Python18114

• baronefr/rhavok-analysis

  A review of HAVOK and Reservoir computing for chaotic dynamics forecast

  Language:Python12133

• WISEPLAT/BackTraderTinkoff

  Провайдер для автоторговли в BackTrader из Tinkoff Invest API

  Language:Python7101

• danchern97/tda4la

  This is an official repository for "Acceptability Judgements via Examining the Topology of Attention Maps" accepted to Findings of EMNLP 2022.

  Language:Jupyter Notebook5101

• Ivanborisov80/saits

  Language:Jupyter Notebook110