201.KangBoming / BulkFormer
BulkFormer: A large-scale foundation model for human bulk transcriptomes
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201–300 of 303 by Attention Score · May 9, 2026 – Nov 4, 2026 (UTC)
BulkFormer: A large-scale foundation model for human bulk transcriptomes
Debugging, monitoring and visualization for Python Machine Learning and Data Science
TranslatedCAPTCHA recognition
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.
The repository host gives no description.
:satellite: Simple and ready-to-use tutorials for TensorFlow
A knowledge graph and a set of tools for drug repurposing
From the basics to slightly more interesting applications of Tensorflow
Elastic Malware Benchmark for Empowering Researchers
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
🛠 All-in-one web-based IDE specialized for machine learning and data science.
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
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.
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
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 go-to single-cell Foundation Model
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
A collection of infrastructure and tools for research in neural network interpretability.
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Open source remote sensing dataset with benchmarks
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
🐧 Abuse of Google Colab for cracking hashes.
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
The repository host gives no description.
The repository host gives no description.
Reference mapping for single-cell genomics
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
CatBoost tutorials repository
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Sources codes for: Mastering Python for Finance, Second Edition
The repository host gives no description.
Optimising chemical reactions using machine learning
The repository host gives no description.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Python library for interactive topic model visualization. Port of the R LDAvis package.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
An OCaml kernel for Jupyter (IPython) notebook
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
Code for "High-Precision Model-Agnostic Explanations" paper
Easy pipelines for pandas DataFrames.
Mostly experiments based on "Advances in financial machine learning" book
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.
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
Deep Reinforcement Learning for de-novo Drug Design
A Python library modeling pedestrian and bicycle trips over networks.
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.
Research experiments exploring uncommon quant techniques.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.
Environment for reinforcement-learning algorithmic trading models
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
The repository host gives no description.
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
The repository host gives no description.
TensorForce Bitcoin Trading Bot
food image to recipe with deep convolutional neural networks.
TranslatedTensorFlow in practice: using LSTM to predict lottery results
Analysis of High Frequency Trading on Bitcoin exchanges
Moved to https://codeberg.org/araichev/gtfs_kit.
Tutorials and training material for the H2O Machine Learning Platform
Neural question generation using transformers
This trading-gym is the first trading for agent to train with episode of short term trading itself.
General Modeling Network Specification
Various Jupyter notebooks about Common Crawl data
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Use evolutionary algorithms instead of gridsearch in scikit-learn
A library of metrics for evaluating recommender systems
Reinforcement Learning for Portfolio Management
ChatGPT Python Applications integrated with third party libraries and modules
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
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Koç University deep learning framework.
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Python package for Bayesian Machine Learning with scikit-learn API
Jupyter's kernel for Elixir programming language
A library for hidden semi-Markov models with explicit durations