Implementation of papers in 100 lines of code.
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使用机器学习算法完成对12306验证码的自动识别
- deep-learning
- mathematics
- captcha
- 12306
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
POT : Python Optimal Transport
- optimal-transport
- numerical-optimization
- machine-learning
- emd
Message Passing Neural Networks for Molecule Property Prediction
- machine-learning
- chemistry
- neural-networks
- drug-discovery
Optax is a gradient processing and optimization library for JAX.
This package contains deep learning models and related scripts for RoseTTAFold
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
- python
- genetic-algorithm
- optimization
- numpy
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
- diffusion-models
- docking
- binding
- computational-biology
A research toolkit for particle swarm optimization in Python
- particle-swarm-optimization
- optimization-tools
- pso
- global-optimization
Owl - OCaml Scientific Computing @ https://ocaml.xyz
- matrix
- linear-algebra
- ndarray
- statistical-functions
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
- adaptive-learning
- machine-learning
- python
- live-plots
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
- medical-imaging
- medical-ai
- deep-learning
- machine-learning
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
Official Repository for the Uni-Mol Series Methods
- molecular-modeling
- pre-trained-model
- pretraining
- deep-learning
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
- machine-learning
- generative-models
- drug-discovery
- benchmark
Foundation Models for Genomics & Transcriptomics
:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
Precision Medicine Knowledge Graph (PrimeKG)
- knowledge-graph
- precision-medicine
- therapeutics
- bioinformatics
Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
- deep-learning
- pytorch
- deep-chemistry
- graph-neural-network
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
- kmer
- dnabert-model
- kmer-format
- gpu
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research