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Source code and experiments results for TGS Salt Identification Challenge.
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Source code and experiments results for Airbus Ship Detection Challenge.
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Source code for Toxic Comment Classification Challenge.
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Source code and experiments results for Santander Value Prediction Challenge.
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Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
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A PyTorch-based framework to train and validate the models producing high-quality embeddings.
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A real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
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Gitingest - Turn any Git repository into a simple text digest of its codebase so it can be fed into any LLM.
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Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
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An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
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Google TPU optimizations for transformers models.
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Python-based meta-heuristic optimization techniques.
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Resource scheduling and cluster management for AI.
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A Julia framework for probabilistic graphical models.
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Python library for working with Probabilistic Graphical Models.
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Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone.
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A better version of Jieba, developed by Peking University.
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Production-Ready LLM Agent SDK for Every Developer.
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Use AutoML to do model compression.
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Multilingual text (NLP) processing toolkit.
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A high-speed inference engine for deploying LLMs locally.
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Ask questions to your documents without an internet connection, using the power of LLMs.