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JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
A curated list of resources about generative flow networks (GFlowNets).
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A collection of tools for neural compression enthusiasts.
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
Code for 3D-LLM: Injecting the 3D World into Large Language Models
Tools to download and cleanup Common Crawl data
The fastest knowledge base for growing teams. Beautiful, realtime collaborative, feature packed, and markdown compatible.
A curated list of reinforcement learning with human feedback resources (continually updated)
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
A PyTorch library and evaluation platform for end-to-end compression research
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
[EMNLP 2023] Adapting Language Models to Compress Long Contexts
[ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
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.
Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Instant neural graphics primitives: lightning fast NeRF and more
A curated list of awesome neural radiance fields papers
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
JNeRF is a NeRF benchmark based on Jittor. JNeRF re-implemented instant-ngp and achieved same performance with original paper.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image


