Beast code in Giters

Shirhaha's starred repositories

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Language:Jupyter NotebookApache-2.027214 656 510

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Language:Jupyter NotebookApache-2.025107 1087 561

codellama

Inference code for CodeLlama models

Language:PythonNOASSERTION13860 159 169

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Language:PythonApache-2.02605 46 324

following-instructions-human-feedback

1145 139 7

data-centric-AI

A curated, but incomplete, list of data-centric AI resources.

1001 15 3

teachopencadd

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

Language:Jupyter NotebookCC-BY-4.0705 31 153

pubmed_parser

:clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset

Language:PythonMIT557 21 95

start-llms

A complete guide to start and improve your LLM skills in 2024 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

MIT481 11 1

s2orc-doc2json

Parsers for scientific papers (PDF2JSON, TEX2JSON, JATS2JSON)

Language:PythonApache-2.0317 8 10

biocypher

A unifying framework for biomedical research knowledge graphs

Language:PythonMIT194 6 306

DECIMER-Image_Transformer

DECIMER: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer

Language:PythonMIT171 7 54

3DInfomax

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Language:Python146 3 19

molbloom

Molecular bloom filter tool

Language:PythonMIT109 2 10

clinical-trial-outcome-prediction

benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

Language:Python94 2 12

Free and open-source application (command line and GUI) providing QSAR models predictions as well as applicability domain and accuracy assessment for physicochemical properties, environmental fate and toxicological endpoints. ==================>Download the latest compiled version from the "releases" tab and run the executable installer.

Language:MATLABMIT89 10 42