Trangle/claude-code-haha
Claude Code leaked source - locally runnable version
Claude Code leaked source - locally runnable version
A pixel office for your OpenClaw: turn invisible work states into a cozy little space with characters, daily notes, and guest agents. Code under MIT; art assets for non-commercial learning only.
A framework for efficient model inference with omni-modality models
A high-throughput and memory-efficient inference and serving engine for LLMs
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Train transformer language models with reinforcement learning.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
FlashInfer: Kernel Library for LLM Serving
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
One API for plugins and datasets, one interface for prompt engineering and visual operation, all for creating powerful AI applications.
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Efficient LLM Inference over Long Sequences
[ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and FastChat-T5.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.
Protocol Buffers - Google's data interchange format
Minerva: a fast and flexible tool for deep learning. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy. Please refer to the examples to see how multi-GPU setting is used.
A distributed, shared-nothing relational database
The ultimate Vim configuration: vimrc
Siri like waver
Incremental Random Forest
lmdeploy-dev
Go ahead and axolotl questions
A benchmark for emotional intelligence in large language models