101.leandromoreira / digital_video_introduction
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Ranked by Attention Score: stars gained over the last 180 complete days
101–200 of 303 by Attention Score · May 9, 2026 – Nov 4, 2026 (UTC)
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
Kubernetes Community Documentation
High-Resolution Image Synthesis with Latent Diffusion Models
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
This repository contains demos I made with the Transformers library by HuggingFace.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A collection of various deep learning architectures, models, and tips
QLoRA: Efficient Finetuning of Quantized LLMs
Flax is a neural network library for JAX that is designed for flexibility.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Python programs, usually short, of considerable difficulty, to perfect particular skills.
The fastest way to create an HTML app
Foundational Models for State-of-the-Art Speech and Text Translation
Quantitative analysis, strategies and backtests
Portfolio and risk analytics in Python
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
TranslatedCode implementation of 《统计学习方法》 (Statistical Learning Methods)
Playing Pokemon Red with Reinforcement Learning
A multi-voice TTS system trained with an emphasis on quality
A course in reinforcement learning in the wild
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Official inference library for Mistral models
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Natural Language Processing Tutorial for Deep Learning Researchers
The "Python Machine Learning (1st edition)" book code repository and info resource
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Toturials coming with the "data science roadmap" picture.
stable diffusion webui colab
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
LAVIS - A One-stop Library for Language-Vision Intelligence
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.
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.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
The repository host gives no description.
Precision Medicine Knowledge Graph (PrimeKG)
Tutorials and programming exercises for learning Q# and quantum computing
A library for debugging/inspecting machine learning classifiers and explaining their predictions
《Python Cookbook》 3rd Edition Translation
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
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》)
llama3 implementation one matrix multiplication at a time
Implementing a Neural Network from Scratch
Foundation Models for Genomics & Transcriptomics
Pathology Foundation Model - Nature Medicine
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
WebGL accelerated JavaScript molecular graphics library
Segment Anything for Microscopy
links to conference publications in graph-based deep learning
PRML algorithms implemented in Python
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Create delightful software with Jupyter Notebooks
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
This repository contains the source code for the paper First Order Motion Model for Image Animation
TranslatedChinese translation of wtfpython / ongoing 🚧... / My ability is limited, you are welcome to help me improve the translation
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Instruct-tune LLaMA on consumer hardware
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Microsoft Quantum Development Kit Samples
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Algorithms for outlier, adversarial and drift detection
A collection of Jupyter notebooks showing how to use the Qiskit SDK
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 Python library for introductory data science
Instructional notebooks on music information retrieval.
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Lectures on scientific computing with python, as IPython notebooks.
A scikit-learn compatible neural network library that wraps PyTorch
🦖 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
Utility functions for handling MIDI data in a nice/intuitive way.
Simple tutorials using Google's TensorFlow Framework
StableLM: Stability AI Language Models
Synthetic data generators for tabular and time-series data
Natural Gradient Boosting for Probabilistic Prediction
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
The Udacity open source self-driving car project
TensorFlow Tutorials with YouTube Videos
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.