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Official repository for our work on micro-budget training of large-scale diffusion models.
Minimal GPT (~350 lines with a simple task to test it)
Minimal standalone example of diffusion model
Notebooks for the "JAX in Action" book
QKeras: a quantization deep learning library for Tensorflow Keras
A fun party trick to run Python code from another venv into this one.
Distraction blocker which monitors your mouse and keyboard. Prevents you from switching tabs and wasting your time.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Lightning ⚡️ fast forecasting with statistical and econometric models.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Google Drive Public File Downloader when Curl/Wget Fails
Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
FineTune LLMs in few lines of code (Text2Text, Text2Speech, Speech2Text)
Diffusion on syntax trees for program synthesis
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
LLM-Merging: Building LLMs Efficiently through Merging
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
A playbook for systematically maximizing the performance of deep learning models.