DeepL-023

DeepL-023's Stars

• hmi88/Fast_Multi_Style_Transfer-tensorflow

  Multi style transfer. You can make Gogh + Manet + Picasso style image

  Language:Python21138

• diyiiyiii/StyTR-2

  StyTr2 : Image Style Transfer with Transformers

  Language:Python33561

• BrooksResearchGroup-UM/PEVAE_Paper

  Deciphering protein evolution and fitness landscapes with latent space models

  Language:Python302

• fhalab/MLDE

  A machine-learning package for navigating combinatorial protein fitness landscapes.

  Language:Python11228

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python51.3k5.3k

• xypan1232/iDeepS

  inferring sequence-structure motifs using deep learning

  Language:HTML3623

• vanhauser-thc/thc-hydra

  hydra

  Language:C9.3k1.9k

• marsicoLab/TriPepSVM

  Predict RNA binding proteins from sequences using string kernel SVMs.

  Language:Jupyter Notebook55

• linyueshi/MFSLNC

  Measuring Functional Similarity of lncRNAs Based on Varia-ble K-mer profiles of Nucleotide Sequences

  Language:Python1

• facebookresearch/esm

  Evolutionary Scale Modeling (esm): Pretrained language models for proteins

  Language:Python3k587

• cblaine40/Kmer

  Extract DNA sequences (k-mer) of length k from the genome of E.coli by analyzing a FASTA file.

  Language:Java1

• karel-brinda/fasta2kmers

  A simple program to split sequences from a FASTA/FASTQ file into k-mers in the FASTA format.

  Language:C3

• suchapalaver/fastas2kmers

  A naive implementation of a k-mer counter in Python, takes fasta files and k-mer length requests and outputs all k-mers of length k, their reverse complement, and their frequency within their respective sequence for each sequence in the file.

  Language:Python9

• davidrequena/multifastats

  Multifastats: Multi-Fasta Sequence Stats. Free python-based program that, from a set of a set of 'fasta' sequences (as group or individually), produces basic outputs and statistics (N50, %GC, molecular weight, cut in kmers and concatenate sequences using defined spacers). And also allows to apply some filters and select subgroups by length and/or type. This runs in Windows, Linux and Mac OS.

  Language:Python125

• aponsero/kmer_frequency_python

  Python script to compute kmer frequency profile from Fasta formated sequences

  Language:Python11

• Wenhao-Jin/SONAR

  A program to construct SVM model and get classification scores for predicting RNA-binding proteins with given PPI network and RBP annotation list

  Language:Python21

• kimmo1019/Deopen

  A hybrid deep convolutional neural network for predicting chromatin accessibility

  Language:Python248

• dmaticzka/GraphProt

  GraphProt: modelling binding preferences of RNA-binding proteins

  Language:C++163

• rochoa85/PepFun

  Bioinformatics and Cheminformatics protocols for peptide analysis

  Language:Jupyter Notebook349

• rochoa85/PepFun2

  PepFun 2.0: improved protocols for the analysis of natural and modified peptides

  Language:Python172