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acpred-laf

ACPred-LAF: a discriminator to identify anti-cancer peptides with learnable and adaptive features based on multi-sense and multi-scaled embedding

adapt-kcr

Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture

cmappy

Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cs229-ml-implements

Implements of cs229(Machine Learning taught by Andrew Ng) in python.

deep-learning-for-beginners

Code Examples of "Deep Learning for Beginners"

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplncloc

A deep learning-based lncRNA subcellular localization predictor

dir-gnn

Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)

drugcombinationprediction

epi-mind

EPI-Mind

gbpnet

gnn-model-explainer

gnn explainer

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

interact

learn_git

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

lihang-code

《统计学习方法》的代码实现

matlab-machine-learning

Source Code for 'MATLAB Machine Learning' by Michael Paluszek and Stephanie Thomas

mgdta

MGDTA: EXPLORING MULTIGRANULAR REPRESENTATIONS FOR DRUG-TARGET BINDING AFFINITY PREDICTION

ml-000

nlp

prottrans

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

psp

Python scripts for data processing and analysis of P100 and GCP data

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

scikit-learn

scikit-learn: machine learning in Python

sspgi