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Source code for Twitter's Recommendation Algorithm
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Integrated set of Django applications addressing authentication, registration, account management as well as 3rd party (social) account authentication. 🔁 Mirror of https://codeberg.org/allauth/djan…
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Hydra is a framework for elegantly configuring complex applications
TensorFlow-based neural network library
Deep learning library featuring a higher-level API for TensorFlow.
Script for downloading Coursera.org videos and naming them.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Running large language models on a single GPU for throughput-oriented scenarios.
Bayesian Modeling and Probabilistic Programming in Python
code for Data Science From Scratch book
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 17+ clouds, or on-prem).
A collection of machine learning examples and tutorials.
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…
Multi-user server for Jupyter notebooks
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…
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
A natural language modeling framework based on PyTorch
📚 Parameterize, execute, and analyze notebooks
macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapRed…
common data analysis and machine learning tasks using python
Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)