eddietaylor

eddietaylor's Stars

• ShangtongZhang/DeepRL

  Modularized Implementation of Deep RL Algorithms in PyTorch

  Language:Python3.2k684

• yhilpisch/rl4f

  This repository contains the code for the O'Reilly book Reinforcement Learning for Finance.

  Language:Jupyter Notebook192

• amazon-science/chronos-forecasting

  Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

  Language:Python2.6k293

• Adamdad/kat

  Kolmogorov-Arnold Transformer: A PyTorch Implementation with CUDA kernel

  Language:Python61037

• SakanaAI/AI-Scientist

  The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

  Language:Jupyter Notebook8.3k1.2k

• mattjj/pyhsmm

  Language:Python550175

• intel/neural-compressor

  SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

  Language:Python2.2k257

• chiphuyen/ml-interviews-book

  https://huyenchip.com/ml-interviews-book/

  Language:HTML3.5k525

• chiphuyen/dmls-book

  Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

  2.3k346

• pg2455/KAN-Tutorial

  Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples

  Language:Jupyter Notebook16713

• crewAIInc/crewAI

  Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

  Language:Python21.7k3k

• valeman/Transformers_And_LLM_Are_What_You_Dont_Need

  The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.

  54227

• tblume1992/MFLES

  Language:Jupyter Notebook1124

• fabsig/GPBoost

  Combining tree-boosting with Gaussian process and mixed effects models

  Language:C++57446

• Allenpandas/Reinforcement-Learning-Papers

  📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

  30534

• NExT-GPT/NExT-GPT

  Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model

  Language:Python3.3k331

• neonwatty/machine_learning_refined

  Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

  Language:Python1.7k611

• clinicalml/TabLLM

  Language:Python27645

• zylon-ai/private-gpt

  Interact with your documents using the power of GPT, 100% privately, no data leaks

  Language:Python54.3k7.3k

• UB-Mannheim/tesseract

  Tesseract Open Source OCR Engine (main repository)

  Language:C++3.2k438

• andri27-ts/Reinforcement-Learning

  Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

  Language:Jupyter Notebook4.2k624

• INRIA/scikit-learn-mooc

  Machine learning in Python with scikit-learn MOOC

  Language:Jupyter Notebook1.1k516

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.3k18k

• StatMixedML/XGBoostLSS

  An extension of XGBoost to probabilistic modelling

  Language:Python56459

• stanfordmlgroup/ngboost

  Natural Gradient Boosting for Probabilistic Prediction

  Language:Python1.7k219

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.3k734

• AutomationPanda/bulldoggy-reminders-app

  A demo web app for reminders built in Python using FastAPI and HTMX

  Language:Python27241

• edbakhitov/boostIV

  Causal Gradient Boosting: Boosted Instrumental Variable Regression

  Language:Python82

• andgoldschmidt/derivative

  Optimal numerical differentiation of noisy time series data in python.

  Language:Python568

• Mcompetitions/M4-methods

  Data, Benchmarks, and methods submitted to the M4 forecasting competition

  Language:R749317