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A set of tools to keep your pinned Python dependencies fresh.
Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.12. You feed it your Python app, it does a lot of clever things, and spits out an executable or exte…
Neural Networks: Zero to Hero
🧠 A curated list of awesome ChatGPT resources, including libraries, SDKs, APIs, and more. 🌟 Please consider supporting this project by giving it a star.
An opinionated list of awesome Python frameworks, libraries, software and resources.
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…
Ranger deep learning optimizer rewrite to use newest components
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Automatically find issues in image datasets and practice data-centric computer vision.
Cross-platform GUI written in Rust using ADB to debloat non-rooted android devices. Improve your privacy, the security and battery life of your device.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Curated list of awesome tools, demos, docs for ChatGPT and GPT-3
Stable Diffusion with Core ML on Apple Silicon
A cross tenant metadata driven processing framework for Azure Data Factory and Azure Synapse Analytics achieved by coupling orchestration pipelines with a SQL database and a set of Azure Functions.
Cookiecutter template configured with poetry, pytest, black, bandit, jupyterlab, pyinstaller and click. Makefile included so you don't have to remember commands
List of Computer Science courses with video lectures.
Example repo to kickstart integration with mlflow pipelines.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
🎓 Sharing machine learning course / lecture notes.