Stanford Cs 229 Machine Learning
afshinea
VIP cheatsheets for Stanford's CS 229 Machine Learning
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afshinea
VIP cheatsheets for Stanford's CS 229 Machine Learning
stanfordnlp
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
vwxyzjn
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
dair-ai
📺 Discover the latest machine learning / AI courses on YouTube.
faridrashidi
🏅 Collection of Kaggle Solutions and Ideas 🏅
haifengl
Statistical Machine Intelligence & Learning Engine
kailashahirwar
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learnin…
timeseriesAI
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
promptslab
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
aleju
Image augmentation for machine learning experiments.
jindongwang
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
NVIDIA
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference appl…
mlpack
mlpack: a fast, header-only C++ machine learning library