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METiS Therapeutics
- Cambridge, MA
Highlights
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Starred repositories
OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve.
A course in git for the uninitiated using the "hard way" method
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
The LinearDesign mRNA design software.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Linear-Time Approximation of RNA Folding Partition Function and Base Pairing Probabilities
The new source code of the LinearFold, linear-time prediction for RNA secondary structures
Deep-learning Augmented RNA-seq analysis of Transcript Splicing
Nature Methods: RNA foundation model (together with RhoFold)
RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.
PyTorch Tutorial for Deep Learning Researchers
Deep Learning Zero to All - Pytorch
my solutions to problems from Rosalind.
🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
提供同花顺客户端/miniqmt/雪球的股票量化交易,支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合
Resources for "Natural Language Processing" Coursera course.
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
Content for Meetups for DATA & AI - Microsoft DFW
Scrapping diseases information from Mayo Clinic and saving it in Neo4j