201.biomap-research / scFoundation
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Ranked by Attention Score: stars gained over the last 90 complete days
201–300 of 314 by Attention Score · Aug 7, 2026 – Nov 4, 2026 (UTC)
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StableLM: Stability AI Language Models
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Open source remote sensing dataset with benchmarks
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
The Udacity open source self-driving car project
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Handout for the tutorial "Creating publication-quality figures with matplotlib"
scPerturb: A resource and a python/R tool for single-cell perturbation data
Repository for Nicheformer: a foundation model for single-cell and spatial omics
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Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
Reference mapping for single-cell genomics
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
🏃 The go-to single-cell Foundation Model
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
From the basics to slightly more interesting applications of Tensorflow
A collection of infrastructure and tools for research in neural network interpretability.
🐧 Abuse of Google Colab for cracking hashes.
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
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Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
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Optimising chemical reactions using machine learning
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
Agentic LLM CTF to test prompt injection attacks and preventions
CatBoost tutorials repository
A knowledge graph and a set of tools for drug repurposing
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A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
:satellite: Simple and ready-to-use tutorials for TensorFlow
Code for "High-Precision Model-Agnostic Explanations" paper
Environment for reinforcement-learning algorithmic trading models
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Python library for interactive topic model visualization. Port of the R LDAvis package.
Elastic Malware Benchmark for Empowering Researchers
TensorForce Bitcoin Trading Bot
Mostly experiments based on "Advances in financial machine learning" book
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Sources codes for: Mastering Python for Finance, Second Edition
Deep Reinforcement Learning for de-novo Drug Design
An OCaml kernel for Jupyter (IPython) notebook
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Wrapper for RDKit's RunReactants to improve stereochemistry handling
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Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
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Tutorials and training material for the H2O Machine Learning Platform
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Introduction to Statistics using Python
TensorFlow Implementation of "Show, Attend and Tell"
Easy pipelines for pandas DataFrames.
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...
food image to recipe with deep convolutional neural networks.
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
TranslatedTensorFlow in practice: using LSTM to predict lottery results
This trading-gym is the first trading for agent to train with episode of short term trading itself.
Analysis of High Frequency Trading on Bitcoin exchanges
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
Integrated pipeline for multiplexed image analysis
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
Various Jupyter notebooks about Common Crawl data
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
open source E-book on statistical physics
💸 Papers and Code Implements for Quantitative-Trading
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Koç University deep learning framework.
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
Neural question generation using transformers
Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Use evolutionary algorithms instead of gridsearch in scikit-learn
A library of metrics for evaluating recommender systems
Python package for Bayesian Machine Learning with scikit-learn API
Reinforcement Learning for Portfolio Management