The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Repository Index
47,133 repositories indexed
1–24 of 29 · Most stars
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
A programming framework for agentic AI
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- airflow
- apache
- apache-airflow
- python
Making large AI models cheaper, faster and more accessible
- deep-learning
- hpc
- large-scale
- data-parallelism
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
You like pytorch? You like micrograd? You love tinygrad! ❤️
:zap: A Fast, Extensible Progress Bar for Python and CLI
- progressbar
- progressmeter
- progress-bar
- meter
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
GUI for a Vocal Remover that uses Deep Neural Networks.
- vocal-remover
- pytorch
- source
- separation
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
- natural-language-processing
- machine-learning
- named-entity-recognition
- machine-translation
Node-based Visual Programming Toolbox
- photogrammetry
- computer-vision
- 3d-reconstruction
- alicevision
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
- agents
- flow-based-programming
- flow-engineering
- llm-agent
Deep universal probabilistic programming with Python and PyTorch
- python
- pytorch
- machine-learning
- bayesian
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
StellarGraph - Machine Learning on Graphs
- graphs
- machine-learning
- machine-learning-algorithms
- graph-convolutional-networks
Genetic Programming in Python, with a scikit-learn inspired API
- genetic-programming
- machine-learning
- python
- scikit-learn
Audio processing by using pytorch 1D convolution network
- spectrogram-conversion-toolbox
- pytorch
- audio-processing
- preprocessing
kapre: Keras Audio Preprocessors
🧠+🎧 Build your music algorithms and AI models with the next-gen DAW 🔥
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
in progress
- tensorflow
- cnn
- lstm
- nlp
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
- quantum-mechanics
- materials-informatics
- data-science
- machine-learning
A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.