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D4RL is an open-source benchmark for offline reinforcement learning. It provides standardized environments and datasets for training and benchmarking algorithms. A supplementary whitepaper and website are also available.
A collection of recent methods on DNN compression and acceleration. There are mainly 5 kinds of methods for efficient DNNs:
angular-parallel-test-runner is a command-line tool designed to run Angular tests in parallel across multiple projects. It utilizes the concurrency capabilities of your machine, maximizing the efficiency of running tests by leveraging multiple CPU cores.
This repo is maintained in collaboration with
Common Lisp Quicklisp OpenShift Build Image
teal.picks is an R package used in the development of teal applications. It provides:
LLM distillation detection & model fingerprinting via statistical forensics — behavioral probing, stylistic signatures & representation similarity. CLI MCP ready.
This repository is the PyTorch implementation of our paper HANet.