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tulip-berkeley / open_clip
Forked from mlfoundations/open_clipAn open source implementation of CLIP (With TULIP Support)
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Stable Diffusion web UI
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audi…
The official implementation of the ICML 2024 paper "MemoryLLM: Towards Self-Updatable Large Language Models" and "M+: Extending MemoryLLM with Scalable Long-Term Memory"
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A simple repository for Llama-VITS project
the code for vits in the vitsGPT project
NLP2024 チュートリアル３ 作って学ぶ日本語大規模言語モデル - 環境構築手順とソースコード / NLP2024 Tutorial 3: Practicing how to build a Japanese large-scale language model - Environment construction and experimental source codes
Orion-14B is a family of models includes a 14B foundation LLM, and a series of models: a chat model, a long context model, a quantized model, a RAG fine-tuned model, and an Agent fine-tuned model. …
Inferflow is an efficient and highly configurable inference engine for large language models (LLMs).
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
Code that implements efficient knowledge graph extraction from the textual descriptions
the code for llama in the vitsGPT project
ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)
Useless, kind of silly, but it looks funny that I was so enthusiastic.
Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".