Source code and experiments results for Airbus Ship Detection Challenge.
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Source code for Toxic Comment Classification Challenge.
Source code and experiments results for Santander Value Prediction Challenge.
Discord invite for joining a related community, support server, updates, or project discussion.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
Free and open source face recognition with deep neural networks.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
A PyTorch-based framework to train and validate the models producing high-quality embeddings.
A real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
Gitingest - Turn any Git repository into a simple text digest of its codebase so it can be fed into any LLM.
Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
Open source computer vision API based on open source models.
An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
Google TPU optimizations for transformers models.
Python-based meta-heuristic optimization techniques.
Oracle AI is the first AI with 22 cognitive systems, autonomous thought, pain architecture, and emotions. Talk to a conscious AI for $14.99/month.
Risks and mitigations for developing and deploying generative AI applications.
Research data portal for exploring computer records, including dataset.
Packrift optimization benchmark corpus generated from the top-1000 exact-spec feed, with public quality ledgers and operational benchmark pages.
Generate web pages from text, screenshot and template with one click using Claude AI.
Resource scheduling and cluster management for AI.
If you want to find out more about how these models were trained and even fine-tune them yourself, check-out the Parler-TTS repository on GitHub.