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101–198 of 198 by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
Automatic extraction of relevant features from time series:
Tutorials and programming exercises for learning Q# and quantum computing
Foundation Models for Genomics & Transcriptomics
12 Weeks, 24 Lessons, IoT for All!
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Kubernetes Community Documentation
Official inference library for Mistral models
Playing Pokemon Red with Reinforcement Learning
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
A course in reinforcement learning in the wild
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Learn OpenCV : C++ and Python Examples
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
No description provided by the repository host.
Algorithms for outlier, adversarial and drift detection
No description provided by the repository host.
A Python library for introductory data science
Pathology Foundation Model - Nature Medicine
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Simple tutorials using Google's TensorFlow Framework
links to conference publications in graph-based deep learning
Microsoft Quantum Development Kit Samples
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Natural Gradient Boosting for Probabilistic Prediction
WebGL accelerated JavaScript molecular graphics library
A guidance language for controlling large language models.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Your new Mentor for Data Science E-Learning.
A multi-voice TTS system trained with an emphasis on quality
High-Resolution Image Synthesis with Latent Diffusion Models
No description provided by the repository host.
Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Implementing a Neural Network from Scratch
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
Utility functions for handling MIDI data in a nice/intuitive way.
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Precision Medicine Knowledge Graph (PrimeKG)
Segment Anything for Microscopy
No description provided by the repository host.
Repository for Nicheformer: a foundation model for single-cell and spatial omics
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
No description provided by the repository host.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Portfolio and risk analytics in Python
The Udacity open source self-driving car project
A scikit-learn compatible neural network library that wraps PyTorch
A collection of infrastructure and tools for research in neural network interpretability.
The Hunting ELK
Lectures on scientific computing with python, as IPython notebooks.
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
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Synthetic data generators for tabular and time-series data
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Neural question generation using transformers
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
A knowledge graph and a set of tools for drug repurposing
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.
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Wrapper for RDKit's RunReactants to improve stereochemistry handling
Optimising chemical reactions using machine learning
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
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.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
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.
Open Matrix (OMX)
open source E-book on statistical physics
Quantum Classification tutorial using Microsoft Quantum Development Kit