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accelerate-for-pytorch

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

alpaca-lora

Instruct-tune LLaMA on consumer hardware

alphafold

Open source code for AlphaFold.

alphafold-1

Install alphafold on the local machine, get out of docker.

alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

alphafold_non_docker

AlphaFold2 non-docker setup

alphatensor

anarci

Antibody Numbering and Antigen Receptor ClassIfication

ankh

Ankh: Optimized Protein Language Model

antibodygpt

asitedesign

awesome-rust

A curated list of Rust code and resources.

belle--alpaca-

BELLE: Bloom-Enhanced Large Language model Engine（开源中文对话大模型-70亿参数）

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bilingual_book_maker

Make bilingual epub books Using AI translate

binding-ddg-predictor

open source repository

bioinfo_py_scripts

Python Scripts for Bioinformatics

biotransfer-antibody-design

Machine learning-driven antibody design

cathe

Deep Learning tool trained on protein sequence embeddings from protein language models to accurately detect remote homologues for CATH superfamilies

chemprop

Message Passing Neural Networks for Molecule Property Prediction

chemprop_abaucin

Personal branch of chemprop used to predict the antibiotics Abaucin

code

Compilation of R and Python programming codes on the Data Professor YouTube channel.

codeformer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

codon

A high-performance, zero-overhead, extensible Python compiler using LLVM

colabfold

Making Protein folding accessible to all via Google Colab!

conplex_dev

coursera-deep-learning

Solutions to all quiz and all the programming assignments!!!

coursera-deep-learning-specialization

2021, the latest Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-specialization_2022

Coursera : Deep Learning Specialization by Andrew Ng