#learning

FrontierML: A challenging, end-to-end machine learning benchmark

Karpathy on Learning

China's Delivery Robots Are Learning to Tackle the Night Shift

huggingface/transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

tensorflow/tensorflow

An Open Source Machine Learning Framework for Everyone

Learning Jazz Pianist Style with Cross-Attention Conditioning

THU-MAIC/OpenMAIC

Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click

Doing a Machine Learning PhD While Working in Japan

NVIDIA/Model-Optimizer

A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.

The Case for Learning in the Era of AI

What California is learning from solar panels built over irrigation canals

Show HN: Mini-AGI – Dynamic continual learning model trained on 8GB VRAM

Engineering Memory: On learning to memorize first 100 digits of pi (2024)

higgsfield-ai/higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Learning another language may be one of the best ways to keep your brain healthy

Learning Programming in an Age of LLMs

Learning to solve hard problems in RL for LLMs by never giving up

Why don't machine learning research agents overfit?