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1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
Jupyter notebooks and code examples for my Kaggle Beginners' Guide.
📚 Awesome CS Books(with Digests)/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. 💫 优秀创业、商业、产品、人文、计算机科学…
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
scikit-learn: machine learning in Python
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A latent text-to-image diffusion model
Typed interactions with the GitHub API v3
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Using Low-rank adaptation to quickly fine-tune diffusion models.
大麦、大麦网 演唱会抢票软件，一个基于 tauri + rust + vue 调用接口的抢票软件。
Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.
Distribute and run LLMs with a single file.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Interact with your documents using the power of GPT, 100% privately, no data leaks
Practical course about Large Language Models.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
An annotated implementation of the Transformer paper.
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.