Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
Python-based meta-heuristic optimization techniques.
Google TPU optimizations for transformers models.
An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
Gitingest - Turn any Git repository into a simple text digest of its codebase so it can be fed into any LLM.
A real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
A PyTorch-based framework to train and validate the models producing high-quality embeddings.
Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Source code and experiments results for Santander Value Prediction Challenge.
Source code for Toxic Comment Classification Challenge.
Source code and experiments results for Airbus Ship Detection Challenge.
Source code and experiments results for TGS Salt Identification Challenge.
Grok - An LLM by xAI with and open weights. opensource.
A list of open LLMs available for commercial use.
A library that enables training PyTorch models with differential privacy.
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).