mandelbrot-walker's Stars
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Dao-AILab/flash-attention
Fast and memory-efficient exact attention
datastacktv/data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Mooler0410/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
sbrugman/deep-learning-papers
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
QData/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
subeeshvasu/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
adapter-hub/adapters
A Unified Library for Parameter-Efficient and Modular Transfer Learning
vsitzmann/awesome-implicit-representations
A curated list of resources on implicit neural representations.
avehtari/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
thunlp/TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
SelfExplainML/PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
havakv/pycox
Survival analysis with PyTorch
xmu-xiaoma666/FightingCV-Paper-Reading
⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀
taichengguo/LLM_MultiAgents_Survey_Papers
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
locuslab/deq
[NeurIPS'19] Deep Equilibrium Models
hrbrmstr/ggalt
:earth_americas: Extra Coordinate Systems, Geoms, Statistical Transformations & Scales for 'ggplot2'
Schlumberger/joint-vae
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
weijie-chen/Econometrics-With-Python
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
genetics-statistics/GEMMA
Genome-wide Efficient Mixed Model Association
Value4AI/Awesome-LLM-in-Social-Science
Awesome papers involving LLMs in Social Science.
pmaji/data-science-toolkit
Collection of stats, modeling, and data science tools in Python and R.
wangbing1416/Awesome-Fake-News-Detection
An awesome paper list of fake news detection (FND) and rumor detection.
hofnerb/stabs
Stability Selection with Error Control
cellmapslab/DeepWAS
DeepWAS: Directly integrating regulatory information into GWAS using machine learning
BensonRen/AEM_DIM_Bench
Repo for paper "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"