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alexhh-protein-generation

from alex-hh / deep-protein-generation, to update to TF 2.0

arnie

Python utility to estimate, compare, and reweight RNA energetics across many secondary structure algorithms.

awesome-biochem-ai

Curated list on Deep Transformers Applications on Biology and Chemistry

awesome-rl

Reinforcement learning resources curated

blog

codetrans

Pretrained Language Models for Source code

community-starter-kit

deep-rna

Easy & Pretrained SOTA Deep Learning for RNA strings

deep-vector-quantization

VQVAEs, GumbelSoftmaxes and friends

design-thinking-intro

dgl-lifesci

Python package for graph neural networks in chemistry and biology

efficientdet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

equibind

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

former

Simple transformer implementation from scratch in pytorch

github-slideshow

A robot powered training repository :robot:

github-upload

hello-github-actions

heroplan_streamlit

Heroplan's Data Synergize with Streamlit

intermediate-python-course

an intermediate Python course

lux-ai-2021

My published benchmark for a Kaggle Simulations Competition

markdown-portfolio

mlops_udacity

These are my notes of the Udacity Nanodegree Machine Learning DevOps Engineer.

models

Models and examples built with TensorFlow

mu-pseudeep

Deep learning method for Pseudouridine site prediction

nnpu_tf

Code for reproducing experiments on MNIST and CIFAR-10 in paper "Positive-Unlabeled Learning with Non-Negative Risk Estimator".

notebooks

Notebooks using the Hugging Face libraries 🤗

prachathai-67k

News Article Corpus from Prachathai.com

prompt_engineering

Prompt Engineering

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

release-based-workflow