A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Repository Index
47,133 repositories indexed
25–48 of 118 · Most stars
Your new Mentor for Data Science E-Learning.
- tensorflow
- machine-learning
- machine-vision
- datascience
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
- computer-vision
- deep-learning
- drug-discovery
- forecasting
Python training for business analysts and traders
- python
- jupyter
- jupyterlab
- binder
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》)
- pytorch
- pytorch-tutorials
- pytorch-tutorials-cn
- deep-learning
The "Python Machine Learning (1st edition)" book code repository and info resource
- machine-learning
- machine-learning-algorithms
- logistic-regression
- data-science
Reference PyTorch implementation and models for DINOv3
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Code release for NeRF (Neural Radiance Fields)
- nerf
- neural-radiance-fields
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
- dain
- huoshan-tts
- microsoft-tts
- rife-gui
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
PhotoMaker [CVPR 2024]
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Automatic extraction of relevant features from time series:
- data-science
- feature-extraction
- time-series
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-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.
Toturials coming with the "data science roadmap" picture.
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Performance analysis of predictive (alpha) stock factors
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
🛠 All-in-one web-based IDE specialized for machine learning and data science.