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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Models and examples built with TensorFlow
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
PyTorch Tutorial for Deep Learning Researchers
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Open source platform for the machine learning lifecycle
A Django content management system focused on flexibility and user experience
Open standard for machine learning interoperability
Image augmentation for machine learning experiments.
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
An open source implementation of CLIP.
Running large language models on a single GPU for throughput-oriented scenarios.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
The open-source tool for building high-quality datasets and computer vision models
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
A natural language modeling framework based on PyTorch
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Using the jedi autocompletion library for VIM.
Reading Wikipedia to Answer Open-Domain Questions
Simple, online, and realtime tracking of multiple objects in a video sequence.
(OLD REPO) Line-by-line profiling for Python - Current repo ->